<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML &amp; Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.</li><li>Data Science: Conduct ML experiments using programming languages with machine learning libraries.</li><li>GenAI: Leverage generative AI to develop innovative solutions.</li><li>Optimisation: Optimise machine learning solutions for performance and scalability.</li><li>Custom Code: Implement tailored machine learning code to meet specific needs.</li><li>Data Engineering: Ensure efficient data flow between databases and backend systems.</li><li>MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.</li><li>ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.</li><li>Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Experience: 1-3 years as a Machine Learning Engineer, preferably with a consulting background.</li><li>Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.</li><li>Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.</li><li>Software Engineering: Hands-on experience with foundational software engineering practices.</li><li>Database Proficiency: Strong knowledge of SQL for querying and managing data.</li><li>Scalability: Experience scaling computations using GPUs or distributed computing systems.</li><li>ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).</li><li>Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.</li></ul><h2>Bonus Points If You Have:</h2><ul style="min-height:1.5em"><li>Scale-up experience.</li><li>Cloud certifications (Google CDL, AWS Solution Architect, etc.).</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday: 25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Hybrid Model: A WFH allowance to keep you comfortable.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)</li><li>Life Insurance: (3 x your base salary!)</li><li>Income Protection: (up to 75% of base salary, up to 2 years) </li><li>Cycle to Work Scheme</li><li>Tech Scheme </li></ul><h1>Why Datatonic?</h1>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.

Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.


WHAT YOU’LL DO

 - Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.

 - Data Science: Conduct ML experiments using programming languages with machine learning libraries.

 - GenAI: Leverage generative AI to develop innovative solutions.

 - Optimisation: Optimise machine learning solutions for performance and scalability.

 - Custom Code: Implement tailored machine learning code to meet specific needs.

 - Data Engineering: Ensure efficient data flow between databases and backend systems.

 - MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.

 - ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.

 - Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.


WHAT YOU’LL BRING

 - Experience: 1-3 years as a Machine Learning Engineer, preferably with a consulting background.

 - Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.

 - Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.

 - Software Engineering: Hands-on experience with foundational software engineering practices.

 - Database Proficiency: Strong knowledge of SQL for querying and managing data.

 - Scalability: Experience scaling computations using GPUs or distributed computing systems.

 - ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).

 - Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.


BONUS POINTS IF YOU HAVE:

 - Scale-up experience.

 - Cloud certifications (Google CDL, AWS Solution Architect, etc.).


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday: 25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Hybrid Model: A WFH allowance to keep you comfortable.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

 - Life Insurance: (3 x your base salary!)

 - Income Protection: (up to 75% of base salary, up to 2 years) 

 - Cycle to Work Scheme

 - Tech Scheme 


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Machine Learning Engineer

<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Principal Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML &amp; Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.</li><li>Data Science: Conduct ML experiments using programming languages with machine learning libraries.</li><li>GenAI: Leverage generative AI to develop innovative solutions.</li><li>Optimisation: Optimise machine learning solutions for performance and scalability.</li><li>Custom Code: Implement tailored machine learning code to meet specific needs.</li><li>Data Engineering: Ensure efficient data flow between databases and backend systems.</li><li>MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.</li><li>ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.</li><li>Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions. </li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Experience: 5+ years as a Machine Learning Engineer, preferably with a consulting background.</li><li>Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.</li><li>Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.</li><li>Software Engineering: Hands-on experience with foundational software engineering practices.</li><li>Database Proficiency: Strong knowledge of SQL for querying and managing data.</li><li>Scalability: Experience scaling computations using GPUs or distributed computing systems.</li><li>ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).</li><li>Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.</li></ul><h2>Bonus Points If You Have:</h2><ul style="min-height:1.5em"><li>Scale-up experience.</li><li>Cloud certifications (Google CDL, AWS Solution Architect, etc.).</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday:  25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Hybrid Model: A WFH allowance to keep you comfortable.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)</li><li>Life Insurance: (3 x your base salary!)</li><li>Income Protection: (up to 75% of base salary, up to 2 years) </li><li>Cycle to Work Scheme</li><li>Tech Scheme </li></ul><h1>Why Datatonic?</h1>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Principal Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.

Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.


WHAT YOU’LL DO

 - Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.

 - Data Science: Conduct ML experiments using programming languages with machine learning libraries.

 - GenAI: Leverage generative AI to develop innovative solutions.

 - Optimisation: Optimise machine learning solutions for performance and scalability.

 - Custom Code: Implement tailored machine learning code to meet specific needs.

 - Data Engineering: Ensure efficient data flow between databases and backend systems.

 - MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.

 - ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.

 - Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.
   


WHAT YOU’LL BRING

 - Experience: 5+ years as a Machine Learning Engineer, preferably with a consulting background.

 - Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.

 - Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.

 - Software Engineering: Hands-on experience with foundational software engineering practices.

 - Database Proficiency: Strong knowledge of SQL for querying and managing data.

 - Scalability: Experience scaling computations using GPUs or distributed computing systems.

 - ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).

 - Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.


BONUS POINTS IF YOU HAVE:

 - Scale-up experience.

 - Cloud certifications (Google CDL, AWS Solution Architect, etc.).


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday:  25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Hybrid Model: A WFH allowance to keep you comfortable.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

 - Life Insurance: (3 x your base salary!)

 - Income Protection: (up to 75% of base salary, up to 2 years) 

 - Cycle to Work Scheme

 - Tech Scheme 


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Principal Machine Learning Engineer

<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As Senior Google Cloud Architect, you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre &amp; post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation machine learning products.This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science.Successful candidates will bring multiple years’ experience with cloud platforms like Google Cloud or AWS. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.</li><li>Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects.</li><li>Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies.</li><li>Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence.</li><li>Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements.</li><li>Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.</li><li>Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.</li><li>Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.</li><li>Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials.</li><li>Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers.</li><li>Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.</li><li>Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation. </li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Educational Background: Bachelor’s or Master’s degree in Computer Science or a related technical discipline.</li><li>Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures.</li><li>End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.</li><li>Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence.</li><li>Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.</li><li>Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organisational levels.</li><li>Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.</li><li>Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.</li><li>Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects.</li><li>Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code.</li><li>Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.</li></ul><h2>Bonus Points If You Have:</h2><ul style="min-height:1.5em"><li>Certifications: Google Cloud or AWS Certified Solutions Architect certification.</li><li>ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink.</li><li>Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.</li><li>Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik.</li><li>Agile Methodologies: Familiarity with Agile frameworks, including Scrum.</li><li>Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred.</li><li>Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation. </li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday:  25 days plus bank holidays (obviously!)</li><li>Private Health Insurance Allowance: CHF 1500 per year, paid monthly after probation</li><li>WFH Equipment Allowance: CHF 125 budget - after probation</li><li>Access to Learning Platforms</li><li>AXA Pension: 15% (paid 50/50 by EE/ER)</li><li>Zurich Income Protection: 80% of salary for up to 2 years</li><li>Zurich Accident Insurance : professional paid be ER, non-professional paid by EE</li></ul><h1>Why Datatonic?</h1>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As Senior Google Cloud Architect, you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation machine learning products.

This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science.

Successful candidates will bring multiple years’ experience with cloud platforms like Google Cloud or AWS. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms.


WHAT YOU’LL DO

 - Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.

 - Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects.

 - Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies.

 - Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence.

 - Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements.

 - Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.

 - Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.

 - Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.

 - Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials.

 - Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers.

 - Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.

 - Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation.
   


WHAT YOU’LL BRING

 - Educational Background: Bachelor’s or Master’s degree in Computer Science or a related technical discipline.

 - Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures.

 - End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.

 - Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence.

 - Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.

 - Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organisational levels.

 - Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.

 - Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.

 - Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects.

 - Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code.

 - Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.


BONUS POINTS IF YOU HAVE:

 - Certifications: Google Cloud or AWS Certified Solutions Architect certification.

 - ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink.

 - Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.

 - Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik.

 - Agile Methodologies: Familiarity with Agile frameworks, including Scrum.

 - Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred.

 - Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation.
   


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday:  25 days plus bank holidays (obviously!)

 - Private Health Insurance Allowance: CHF 1500 per year, paid monthly after probation

 - WFH Equipment Allowance: CHF 125 budget - after probation

 - Access to Learning Platforms

 - AXA Pension: 15% (paid 50/50 by EE/ER)

 - Zurich Income Protection: 80% of salary for up to 2 years

 - Zurich Accident Insurance : professional paid be ER, non-professional paid by EE


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Senior Google Cloud Architect (German-speaking)

<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Principal Data Architect, you will play a pivotal role in designing and implementing modern, scalable data solutions for our clients. Working closely with colleagues across the Data &amp; Analytics Engineering teams, you will help architect, build, and optimise new data platforms or migrate existing solutions to Google Cloud.This is an exciting opportunity for a highly-experienced data professional who is passionate about leveraging cloud technologies to drive innovation and efficiency. You will consult with our clients to understand their business needs and objectives, gather requirements, and define and deliver robust, high-performance data architectures. If you thrive in a fast-paced, technology-driven, consulting environment and are eager to make a tangible impact on transformative projects, this role is for you.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Design &amp; Deliver Cutting-Edge Data Solutions – Lead the analysis, design, and execution of state-of-the-art, data-driven solutions to meet our client’s business needs, leveraging the best of Google Cloud technologies.</li><li>Data Architecture &amp; Governance – Serve as an expert in data transformation, storage, retrieval, security, and governance, ensuring scalable, secure, and efficient data solutions.</li><li>Guide &amp; Mentor Engineers – Provide architectural direction to engineers, ensuring they build robust, high-performance solutions aligned with your target data architecture.</li><li>Master Data Modeling Techniques – Apply expertise in various data modeling approaches, including 3NF, Data Vault, Star Schema, and One Big Table (OBT). Clearly articulate the benefits and trade-offs of each method and optimize their implementation within columnar databases such as BigQuery.</li><li>Shape Data Strategy – Collaborate with the client to define and refine data strategy, covering:<ul style="min-height:1.5em"><li>Data governance and compliance</li><li>Scalable and efficient data modeling techniques</li><li>Ensuring data quality and integrity</li><li>Data management, security, and privacy best practices</li><li>Establishing optimal workflows and operational efficiencies</li></ul></li><li>Develop Fully Integrated Solutions – Work alongside Architecture, Engineering, and Data Science teams to design comprehensive, production-ready solutions that incorporate:<ul style="min-height:1.5em"><li>Cloud best practices</li><li>Scalable and efficient ingestion strategies</li><li>Feature engineering methodologies</li><li>End-to-end production readiness</li></ul></li><li>Leverage Leading Technologies – Design and implement solutions using key partner technologies, including:<ul style="min-height:1.5em"><li>Google Cloud – BigQuery, Dataflow, Vertex AI, and more</li><li>dbt Labs – Modern analytics engineering and transformation</li><li>Snowflake – Cloud-native data warehousing</li><li>Fivetran – Automated data pipelines for seamless integration</li></ul></li></ul> <h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Data Architecture – Proven experience designing and building data warehouse / lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks</li><li>Data Modeling – Strong expertise in data modeling and solution architecture, optimizing for performance and scalability</li><li>Data Governance - Experience with data platforms with data quality, security, privacy, and governance controls built-in</li><li>Ownership Mindset – Ability to take projects from concept to completion, driving creative and effective solutions</li><li>Analytical &amp; Technical Excellence – Demonstrated problem-solving skills with a strong technical foundation and an innovative approach</li><li>Communication &amp; Presentation – Exceptional written and verbal communication skills with great attention to detail, capable of presenting complex concepts clearly to customers</li><li>Stakeholder Management – Ability to build and maintain strong relationships with key external stakeholders across different business levels</li><li>Programming Proficiency – Hands-on experience with Python, Java, and SQL for data engineering and solution development</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li> Holiday:  25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Hybrid Model: A WFH allowance to keep you comfortable.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)</li><li>Life Insurance: (3 x your base salary!)</li><li>Income Protection: (up to 75% of base salary, up to 2 years) </li><li>Cycle to Work Scheme</li><li>Tech Scheme </li></ul><h1>Why Datatonic?</h1>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Principal Data Architect, you will play a pivotal role in designing and implementing modern, scalable data solutions for our clients. Working closely with colleagues across the Data & Analytics Engineering teams, you will help architect, build, and optimise new data platforms or migrate existing solutions to Google Cloud.

This is an exciting opportunity for a highly-experienced data professional who is passionate about leveraging cloud technologies to drive innovation and efficiency. You will consult with our clients to understand their business needs and objectives, gather requirements, and define and deliver robust, high-performance data architectures. If you thrive in a fast-paced, technology-driven, consulting environment and are eager to make a tangible impact on transformative projects, this role is for you.


WHAT YOU’LL DO

 - Design & Deliver Cutting-Edge Data Solutions – Lead the analysis, design, and execution of state-of-the-art, data-driven solutions to meet our client’s business needs, leveraging the best of Google Cloud technologies.

 - Data Architecture & Governance – Serve as an expert in data transformation, storage, retrieval, security, and governance, ensuring scalable, secure, and efficient data solutions.

 - Guide & Mentor Engineers – Provide architectural direction to engineers, ensuring they build robust, high-performance solutions aligned with your target data architecture.

 - Master Data Modeling Techniques – Apply expertise in various data modeling approaches, including 3NF, Data Vault, Star Schema, and One Big Table (OBT). Clearly articulate the benefits and trade-offs of each method and optimize their implementation within columnar databases such as BigQuery.

 - Shape Data Strategy – Collaborate with the client to define and refine data strategy, covering:
   
   - Data governance and compliance
   
   - Scalable and efficient data modeling techniques
   
   - Ensuring data quality and integrity
   
   - Data management, security, and privacy best practices
   
   - Establishing optimal workflows and operational efficiencies

 - Develop Fully Integrated Solutions – Work alongside Architecture, Engineering, and Data Science teams to design comprehensive, production-ready solutions that incorporate:
   
   - Cloud best practices
   
   - Scalable and efficient ingestion strategies
   
   - Feature engineering methodologies
   
   - End-to-end production readiness

 - Leverage Leading Technologies – Design and implement solutions using key partner technologies, including:
   
   - Google Cloud – BigQuery, Dataflow, Vertex AI, and more
   
   - dbt Labs – Modern analytics engineering and transformation
   
   - Snowflake – Cloud-native data warehousing
   
   - Fivetran – Automated data pipelines for seamless integration

 


WHAT YOU’LL BRING

 - Data Architecture – Proven experience designing and building data warehouse / lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks

 - Data Modeling – Strong expertise in data modeling and solution architecture, optimizing for performance and scalability

 - Data Governance - Experience with data platforms with data quality, security, privacy, and governance controls built-in

 - Ownership Mindset – Ability to take projects from concept to completion, driving creative and effective solutions

 - Analytical & Technical Excellence – Demonstrated problem-solving skills with a strong technical foundation and an innovative approach

 - Communication & Presentation – Exceptional written and verbal communication skills with great attention to detail, capable of presenting complex concepts clearly to customers

 - Stakeholder Management – Ability to build and maintain strong relationships with key external stakeholders across different business levels

 - Programming Proficiency – Hands-on experience with Python, Java, and SQL for data engineering and solution development


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday:  25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Hybrid Model: A WFH allowance to keep you comfortable.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

 - Life Insurance: (3 x your base salary!)

 - Income Protection: (up to 75% of base salary, up to 2 years) 

 - Cycle to Work Scheme

 - Tech Scheme 


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Principal Data Architect

<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML &amp; Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.</li><li>Data Science: Conduct ML experiments using programming languages with machine learning libraries.</li><li>GenAI: Leverage generative AI to develop innovative solutions.</li><li>Optimisation: Optimise machine learning solutions for performance and scalability.</li><li>Custom Code: Implement tailored machine learning code to meet specific needs.</li><li>Data Engineering: Ensure efficient data flow between databases and backend systems.</li><li>MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.</li><li>ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.</li><li> Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions. </li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Experience: 3-5 years as a Machine Learning Engineer, preferably with a consulting background.</li><li>Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.</li><li>Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.</li><li>Software Engineering: Hands-on experience with foundational software engineering practices.</li><li>Database Proficiency: Strong knowledge of SQL for querying and managing data.</li><li>Scalability: Experience scaling computations using GPUs or distributed computing systems.</li><li>ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).</li><li>Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.</li></ul><h2>Bonus Points If You Have:</h2><ul style="min-height:1.5em"><li>Scale-up experience.</li><li>Cloud certifications (Google CDL, AWS Solution Architect, etc.).</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday:  25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Hybrid Model: A WFH allowance to keep you comfortable.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)</li><li>Life Insurance: (3 x your base salary!)</li><li>Income Protection: (up to 75% of base salary, up to 2 years) </li><li>Cycle to Work Scheme</li><li>Tech Scheme </li></ul><h1>Why Datatonic?</h1>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.

Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.


WHAT YOU’LL DO

 - Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.

 - Data Science: Conduct ML experiments using programming languages with machine learning libraries.

 - GenAI: Leverage generative AI to develop innovative solutions.

 - Optimisation: Optimise machine learning solutions for performance and scalability.

 - Custom Code: Implement tailored machine learning code to meet specific needs.

 - Data Engineering: Ensure efficient data flow between databases and backend systems.

 - MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.

 - ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.

 -  Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.
   


WHAT YOU’LL BRING

 - Experience: 3-5 years as a Machine Learning Engineer, preferably with a consulting background.

 - Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.

 - Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.

 - Software Engineering: Hands-on experience with foundational software engineering practices.

 - Database Proficiency: Strong knowledge of SQL for querying and managing data.

 - Scalability: Experience scaling computations using GPUs or distributed computing systems.

 - ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).

 - Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.


BONUS POINTS IF YOU HAVE:

 - Scale-up experience.

 - Cloud certifications (Google CDL, AWS Solution Architect, etc.).


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday:  25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Hybrid Model: A WFH allowance to keep you comfortable.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

 - Life Insurance: (3 x your base salary!)

 - Income Protection: (up to 75% of base salary, up to 2 years) 

 - Cycle to Work Scheme

 - Tech Scheme 


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Senior Machine Learning Engineer

Delivery ManagerAs Google Cloud's premier partner in AI, we provide world-class businesses with cutting-edge data solutions in the cloud. We help clients take leading technology to the limits by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies.THE ROLEAs a Delivery Manager, you’ll assist with the successful delivery of the company’s projects across AI, Analytics and Engineering on Google Cloud for our customers.  This position will suit a passionate Agile advocate with proven experience in a delivery or project manager role managing the full delivery cycle. Your responsibilities will include:<ul style="min-height:1.5em"><li>Manage project execution and delivery, scope, resourcing &amp; staffing, reports and communication, issues and resolutions, project financials, and customer satisfaction - to ensure joint success for the customer and Datatonic.</li><li>Ensure a high level of customer satisfaction across all projects by maintaining best-in-class project management and delivery standards.</li><li>Identify, apply and improve appropriate Agile delivery methodologies (Scrum, XP, Kanban, Scrumban etc.) and techniques, being mindful of clients’ culture and operating environment.</li><li>Assess project performance and aim to maximize ROI by offering outstanding business value to our clients.</li><li>Identify obstacles and bring innovative ways to help the team to overcome them.</li><li>Manage communications with stakeholders, managing clients’ expectations for deliverables, and implementing an effective project governance system.</li><li>Own project health, proactively identifying and managing project sentiment, financials and risk</li><li>Be an excellent facilitator by empowering the teams and paving the way for project success.</li><li>Contribute to process, operational efficiency and excellence - continually challenging and testing how we operate</li><li>Stakeholder engagement across internal and external stakeholders.</li><li>Act as a change agent to ensure successful project outcomes</li><li>Financial management of projects including budgets, margins and profit/loss</li><li>RAG/RAID management across projects being maintained</li></ul>Requirements<ul style="min-height:1.5em"><li>Project management/delivery management experience, some of which within a management consultancy, SaaS provider or tech start-up.</li><li>Experiencing in delivering complex projects/programmes</li><li>Enterprise Good understanding of Agile and hybrid ways of working as well as fundamentals of Waterfall delivery</li><li>Agile Project Management, Prince2 or Scrum certification.</li><li>Experience with JIRA or similar ITS software.</li><li>Previous experience with data and/or analytics projects and/or public cloud.</li><li>Proven senior stakeholder management experience (client-side and internal).</li><li>A natural communicator with an engaging and considerate approach.</li><li>A supportive, committed, and empathetic attitude in the performance of daily duties.</li><li>Desire to join a diverse, multinational team of ML &amp; AI enthusiasts.</li><li>Passion for innovative technological solutions.</li></ul>Bonus points (but not essential!):<ul style="min-height:1.5em"><li>Prior experience in start-up / scale-up.</li><li>Multi-lingual (especially but not limited to German, French, Portuguese and Spanish).</li><li>Cloud Certification e.g. Google CDL, AWS Solution Architect</li><li>Salesforce or CRM tool experience</li></ul><h3>What’s in It for You?</h3>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday: 25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Flexibe Working Model: We have a mixture of hybrid office based team and fully remote team. We can consider either for this position.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li></ul><h3>Why Datatonic?</h3>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged—it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Delivery Manager

As Google Cloud's premier partner in AI, we provide world-class businesses with cutting-edge data solutions in the cloud. We help clients take leading technology to the limits by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies.

THE ROLE

As a Delivery Manager, you’ll assist with the successful delivery of the company’s projects across AI, Analytics and Engineering on Google Cloud for our customers.  This position will suit a passionate Agile advocate with proven experience in a delivery or project manager role managing the full delivery cycle. 

Your responsibilities will include:

 - Manage project execution and delivery, scope, resourcing & staffing, reports and communication, issues and resolutions, project financials, and customer satisfaction - to ensure joint success for the customer and Datatonic.

 - Ensure a high level of customer satisfaction across all projects by maintaining best-in-class project management and delivery standards.

 - Identify, apply and improve appropriate Agile delivery methodologies (Scrum, XP, Kanban, Scrumban etc.) and techniques, being mindful of clients’ culture and operating environment.

 - Assess project performance and aim to maximize ROI by offering outstanding business value to our clients.

 - Identify obstacles and bring innovative ways to help the team to overcome them.

 - Manage communications with stakeholders, managing clients’ expectations for deliverables, and implementing an effective project governance system.

 - Own project health, proactively identifying and managing project sentiment, financials and risk

 - Be an excellent facilitator by empowering the teams and paving the way for project success.

 - Contribute to process, operational efficiency and excellence - continually challenging and testing how we operate

 - Stakeholder engagement across internal and external stakeholders.

 - Act as a change agent to ensure successful project outcomes

 - Financial management of projects including budgets, margins and profit/loss

 - RAG/RAID management across projects being maintained

Requirements

 - Project management/delivery management experience, some of which within a management consultancy, SaaS provider or tech start-up.

 - Experiencing in delivering complex projects/programmes

 - Enterprise Good understanding of Agile and hybrid ways of working as well as fundamentals of Waterfall delivery

 - Agile Project Management, Prince2 or Scrum certification.

 - Experience with JIRA or similar ITS software.

 - Previous experience with data and/or analytics projects and/or public cloud.

 - Proven senior stakeholder management experience (client-side and internal).

 - A natural communicator with an engaging and considerate approach.

 - A supportive, committed, and empathetic attitude in the performance of daily duties.

 - Desire to join a diverse, multinational team of ML & AI enthusiasts.

 - Passion for innovative technological solutions.

Bonus points (but not essential!):

 - Prior experience in start-up / scale-up.

 - Multi-lingual (especially but not limited to German, French, Portuguese and Spanish).

 - Cloud Certification e.g. Google CDL, AWS Solution Architect

 - Salesforce or CRM tool experience


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday: 25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Flexibe Working Model: We have a mixture of hybrid office based team and fully remote team. We can consider either for this position.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged—it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Delivery Manager

Delivery Operations ExecutiveShape the Future of AI &amp; Data with UsAt Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform (GCP). By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.RoleJoin our team as an Operations Executive – the glue that keeps our Global Consulting Delivery team running like clockwork!We're on the lookout for a proactive, detail-loving Operations Executive to join forces with our awesome Delivery Ops team. You'll work closely with our existing Operations Execs and report into our Senior Delivery Operations Manager – all while playing a key role in keeping our consulting engine humming.If you love spinning chaos into order, enjoy solving puzzles with data, and get a little thrill from ticking things off your to-do list, this could be your dream role. You'll help streamline processes, keep our PSA systems in shape, manage important project and people data, and support reporting that helps our leadership make big decisions.We’re a fast-paced, ever-evolving tech consultancy – so we’re looking for someone who thrives on variety and change, with top-notch organisational skills and a calm, can-do attitude.This is an amazing launchpad if you're looking to sharpen your operational chops – you’ll work closely with delivery managers, sales teams, and technical teams, all while learning how great projects come to life behind the scenes.Your responsibilities will include:<ul style="min-height:1.5em"><li>Managing data entered in systems such as project delivery timelines, resource assignments, and budgets</li><li>Monitoring timesheet submission compliance and ensuring accuracy of time logged by consultants.</li><li>Monitoring consulting employee’s workload, utilisation, and overtime.</li><li>Assisting in capacity planning by monitoring forecasts and proactively identifying gaps in capacity.</li><li>Assisting the process of creating resource requests and assigning people to projects based on their skills, experience, availability, and career goals..</li><li>Assisting Delivery Managers in planning project kick offs, generating invoices, and project close-outs.</li><li>Collaborating with Operations, Delivery Managers, Sales Leadership, and Finance to continually improve, document, and train employees on standard operating procedures throughout the lifecycle of an opportunity from qualification through to delivery.</li><li>Preparing reporting of key metrics within delivery for executive and board-level meetings.</li><li>Setup and coordinating meetings with key internal stakeholders across Delivery, Sales and Finance</li></ul>Requirements: <ul style="min-height:1.5em"><li>Highly organised approach to your work and able to juggle competing priorities.</li><li>Keen attention to detail to ensure accuracy of data in key systems.</li><li>Strong analytical and problem solving skills.</li><li>A natural communicator with an engaging and considerate approach.</li><li>A drive to develop communication skills in order to manage stakeholder relationships of all levels. </li><li>Desire to join a diverse, multi-national team of AI &amp; Cloud Engineering enthusiasts.</li></ul>What would really set you apart:<ul style="min-height:1.5em"><li>Training or hands on experience in resource management</li><li>Experience working in a consulting or professional services environment</li><li>Knowledge and experience of working with CRM and Analytics Tooling</li></ul><h3>What’s in It for You?</h3>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday: 25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Hybrid Model: A WFH allowance to keep you comfortable.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)</li><li>Life Insurance: (3 x your base salary!)</li><li>Income Protection: (up to 75% of base salary, up to 2 years) </li><li>Cycle to Work Scheme</li><li>Tech Scheme </li></ul><h3>Why Datatonic?</h3>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?<h3>Apply now and take your career to the next level.</h3>

Delivery Operations Executive

Shape the Future of AI & Data with Us

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform (GCP). By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.

Role

Join our team as an Operations Executive – the glue that keeps our Global Consulting Delivery team running like clockwork!

We're on the lookout for a proactive, detail-loving Operations Executive to join forces with our awesome Delivery Ops team. You'll work closely with our existing Operations Execs and report into our Senior Delivery Operations Manager – all while playing a key role in keeping our consulting engine humming.

If you love spinning chaos into order, enjoy solving puzzles with data, and get a little thrill from ticking things off your to-do list, this could be your dream role. You'll help streamline processes, keep our PSA systems in shape, manage important project and people data, and support reporting that helps our leadership make big decisions.

We’re a fast-paced, ever-evolving tech consultancy – so we’re looking for someone who thrives on variety and change, with top-notch organisational skills and a calm, can-do attitude.

This is an amazing launchpad if you're looking to sharpen your operational chops – you’ll work closely with delivery managers, sales teams, and technical teams, all while learning how great projects come to life behind the scenes.

Your responsibilities will include:

 - Managing data entered in systems such as project delivery timelines, resource assignments, and budgets

 - Monitoring timesheet submission compliance and ensuring accuracy of time logged by consultants.

 - Monitoring consulting employee’s workload, utilisation, and overtime.

 - Assisting in capacity planning by monitoring forecasts and proactively identifying gaps in capacity.

 - Assisting the process of creating resource requests and assigning people to projects based on their skills, experience, availability, and career goals..

 - Assisting Delivery Managers in planning project kick offs, generating invoices, and project close-outs.

 - Collaborating with Operations, Delivery Managers, Sales Leadership, and Finance to continually improve, document, and train employees on standard operating procedures throughout the lifecycle of an opportunity from qualification through to delivery.

 - Preparing reporting of key metrics within delivery for executive and board-level meetings.

 - Setup and coordinating meetings with key internal stakeholders across Delivery, Sales and Finance

Requirements: 

 - Highly organised approach to your work and able to juggle competing priorities.

 - Keen attention to detail to ensure accuracy of data in key systems.

 - Strong analytical and problem solving skills.

 - A natural communicator with an engaging and considerate approach.

 - A drive to develop communication skills in order to manage stakeholder relationships of all levels. 

 - Desire to join a diverse, multi-national team of AI & Cloud Engineering enthusiasts.

What would really set you apart:

 - Training or hands on experience in resource management

 - Experience working in a consulting or professional services environment

 - Knowledge and experience of working with CRM and Analytics Tooling


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday: 25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Hybrid Model: A WFH allowance to keep you comfortable.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

 - Life Insurance: (3 x your base salary!)

 - Income Protection: (up to 75% of base salary, up to 2 years) 

 - Cycle to Work Scheme

 - Tech Scheme 


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?


APPLY NOW AND TAKE YOUR CAREER TO THE NEXT LEVEL.

Delivery Operations Executive

<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Senior DevOps Engineer, you will play a key role in establishing, leading and enhancing DevOps practices within our clients' organisations. We are looking for a proactive and skilled professional who thrives in a dynamic, technology-driven environment and is eager to contribute to the growth and innovation of an established scale-up. This role offers the chance to apply your expertise and grow your career while making a tangible impact on cutting-edge projects.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Pipeline Development: Design, implement, and automate scalable and resilient CI/CD &amp; DevOps pipelines on Google Cloud Platform, tailored to client-specific AI/ML and data engineering needs.</li><li>Infrastructure as Code (IaC) Pipelines: Develop and maintain IaC pipelines using tools like Terraform to automate infrastructure provisioning and deployment on GCP, improving efficiency and consistency.</li><li>Technical Best Practices: Define and embed best practices into our internal processes to enhance the quality and consistency of our work</li><li>Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies</li><li>Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for requirements</li><li>Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials</li><li>Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, architects and data engineers</li><li>Tech Partner Collaboration: Collaborate closely with partners such as Google to leverage their technologies effectively</li><li>Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation</li><li>Best Practices Advisory: Provide expert advice to customers on DevOps best practices</li><li>Function Optimisation: Establish and enhance DevOps functions within clients’ organisations</li><li>Stakeholder Engagement: Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery </li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>DevOps Experience: 4+ years of experience in the DevOps field or as a Platform Engineer</li><li>Programming Skills: Proficiency in Python, Java, or Go programming languages</li><li>CI/CD Expertise: In-depth knowledge of CI/CD tools and processes</li><li>Tech Enthusiasm: Strong passion for technology and a drive to continuously learn</li><li>Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts</li><li>Cloud Platform: Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow, and Cloud Composer for automating deployments and managing infrastructure.</li><li>Containerisation/Virtualisation Expertise: Proficiency with technologies such as Terraform and Kubernetes</li></ul><h2>Bonus Points If You Have:</h2><ul style="min-height:1.5em"><li>Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment</li><li>Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation</li><li>SRE Principles: Experience in implementing Site Reliability Engineering (SRE) principles</li><li>Other Cloud Platforms: Experience/certifications for other cloud platforms such as AWS or Azure.</li><li>Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred.</li><li>SDN Knowledge: Understanding of Software Defined Networking (SDN) on Google Cloud </li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday: 20 days paid vacation + 5 additional paid leave days during the company holiday closure.</li><li>Wellness Days: 5 days for personal time, sickness, or other needs.</li><li>Retirement Savings: Group Retirement Savings Plan with matching contributions.</li><li>Health Insurance: Comprehensive group insurance (extended health &amp; dental) with 100% individual premium paid by the employer.</li><li>Telemedicine: 100% employer-paid telemedicine services.</li><li>Remote Work Support: Home office budget provided for our fully remote work environment.</li><li>Internet/Phone Expenses: CAD $70/month (paid quarterly) for internet and phone costs.</li><li>Tech Accessories &amp; Equipment: CAD $1,500 every 3 years for office equipment (monitor, keyboard, mouse, desk, etc.) starting from Day 1.</li><li>Work Laptop: Company-supplied MacBook Pro.</li><li>Learning Allowance: CAD $400/year for books or a reading device.</li><li>Certifications: Opportunities for paid certifications.</li><li>Learning Platform Access: Full access to Udemy Business for both professional and personal development.</li><li>Team Engagement: Regular company off-sites and meetups.</li></ul><h1>Why Datatonic?</h1>Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Senior DevOps Engineer, you will play a key role in establishing, leading and enhancing DevOps practices within our clients' organisations. 

We are looking for a proactive and skilled professional who thrives in a dynamic, technology-driven environment and is eager to contribute to the growth and innovation of an established scale-up. This role offers the chance to apply your expertise and grow your career while making a tangible impact on cutting-edge projects.


WHAT YOU’LL DO

 - Pipeline Development: Design, implement, and automate scalable and resilient CI/CD & DevOps pipelines on Google Cloud Platform, tailored to client-specific AI/ML and data engineering needs.

 - Infrastructure as Code (IaC) Pipelines: Develop and maintain IaC pipelines using tools like Terraform to automate infrastructure provisioning and deployment on GCP, improving efficiency and consistency.

 - Technical Best Practices: Define and embed best practices into our internal processes to enhance the quality and consistency of our work

 - Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies

 - Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for requirements

 - Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials

 - Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, architects and data engineers

 - Tech Partner Collaboration: Collaborate closely with partners such as Google to leverage their technologies effectively

 - Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation

 - Best Practices Advisory: Provide expert advice to customers on DevOps best practices

 - Function Optimisation: Establish and enhance DevOps functions within clients’ organisations

 - Stakeholder Engagement: Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery
   


WHAT YOU’LL BRING

 - DevOps Experience: 4+ years of experience in the DevOps field or as a Platform Engineer

 - Programming Skills: Proficiency in Python, Java, or Go programming languages

 - CI/CD Expertise: In-depth knowledge of CI/CD tools and processes

 - Tech Enthusiasm: Strong passion for technology and a drive to continuously learn

 - Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts

 - Cloud Platform: Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow, and Cloud Composer for automating deployments and managing infrastructure.

 - Containerisation/Virtualisation Expertise: Proficiency with technologies such as Terraform and Kubernetes


BONUS POINTS IF YOU HAVE:

 - Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment

 - Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation

 - SRE Principles: Experience in implementing Site Reliability Engineering (SRE) principles

 - Other Cloud Platforms: Experience/certifications for other cloud platforms such as AWS or Azure.

 - Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred.

 - SDN Knowledge: Understanding of Software Defined Networking (SDN) on Google Cloud
   


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday: 20 days paid vacation + 5 additional paid leave days during the company holiday closure.

 - Wellness Days: 5 days for personal time, sickness, or other needs.

 - Retirement Savings: Group Retirement Savings Plan with matching contributions.

 - Health Insurance: Comprehensive group insurance (extended health & dental) with 100% individual premium paid by the employer.

 - Telemedicine: 100% employer-paid telemedicine services.

 - Remote Work Support: Home office budget provided for our fully remote work environment.

 - Internet/Phone Expenses: CAD $70/month (paid quarterly) for internet and phone costs.

 - Tech Accessories & Equipment: CAD $1,500 every 3 years for office equipment (monitor, keyboard, mouse, desk, etc.) starting from Day 1.

 - Work Laptop: Company-supplied MacBook Pro.

 - Learning Allowance: CAD $400/year for books or a reading device.

 - Certifications: Opportunities for paid certifications.

 - Learning Platform Access: Full access to Udemy Business for both professional and personal development.

 - Team Engagement: Regular company off-sites and meetups.


WHY DATATONIC?

Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

 

Senior DevOps / Platform Engineer 

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