Data Pipeline Engineer

  • Product
  • London, United Kingdom
  • Full-time


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.

Our team consists of experts in machine learning, data science, software engineering, mathematics, and design. We share a passion for data & analysis, operate at the cutting edge, and believe in a pragmatic approach to solving hard problems.

The product:

Datatonic is spinning out a world-class SaaS-based machine learning platform that helps B2C companies to engage 1-1 with each of their customers individually.

What we're looking for:

As Data Pipeline Engineer, you should have proven ability to lead the design and engage in the build and implementation of complex data solutions and services. You will bridge the gap between the data science components and technical implementation, taking an active role on both sides and defining how the application works. You will also have proven experience using Google Cloud tools for big data services.

You'll also have responsibility for:

  • Develop the Back-end components of the product.
  • Make technical decisions in collaboration with the CTO.
  • Collaborate with the Product Manager and other team members / stakeholders.


  • Strong python programming skills as an end-to-end software developer or data engineer
  • Proven in-depth experience working in a Google Cloud environment
  • Experience with architecting solutions in the Google Cloud Platform
  • An agile mindset with a desire to build rapid prototypes and iterate.
  • Have knowledge of most of the following technologies and services and willingness to learn the rest:
    • App Engine
    • Dataflow
    • BigQuery
    • Firestore or Datastore
    • AI Platform
    • Kubernetes
    • Machine Learning & TensorFlow
  • Bachelor’s degree in Computer Science, related technical field or equivalent practical experience.


  • 25 days holiday plus bank holidays
  • Pension scheme
  • Situated in the innovation hub of Canary Wharf
  • Laptop of your choice
  • Monthly social events and team offsites
  • Free fruit, cookies, tea/coffee throughout the week
  • Regular networking events, mentoring events and conferences
  • Exposure to experts from a number of industries
  • Freedom to explore the latest tools and technologies
  • Knowledge-sharing activities

Working for Datatonic

Our UK headquarters is based in a tech-centric environment in the centre of Canary Wharf. We also have offices in Stockholm and Geneva and we work with clients in many other European countries. We allow for flexible working hours and the possibility of remote work.

We’re an eclectic team with lots of different interests and personalities. We have many different roles across data science, engineering, analytics, consulting, marketing, business development, and operations. As a company, we have a strong emphasis on learning and professional development. Our core values are:

Cultivating Excellence

A hub for continuous learning, curiosity, developing ideas, testing things out - and then putting ‘excellence’ into practice.

Owning It

Working collaboratively in cross-functional teams to achieve customer delight. We love what we do and draw immense satisfaction from taking responsibility and seeing the results of our work.

Purposeful Impact

Creating positive change for our customers, using the most relevant machine learning and analytics approaches and the best technologies to meet real business needs.

Winning with Partners & Friends

Our business has been built on great partnerships and open-source collaboration. It’s one thing to be successful, but to do it in partnership with great people and other great companies is even better in our opinion.

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