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NOT ACTIVE – Data Engineer –£60k + benefits package

At this progressive clean energy company, you’ll build robust data pipelines and models to create trusted datasets and increase efficiencies.


Can you help to decarbonise the world through data engineering?

You work can have a real-world impact at one of the world’s leading clean energy tech companies.

With a focus on R&D and bringing new products to market to create efficiencies, this Greentech developer is partnering with the likes of Bosch, Doosan, and Shell.

Through product design, engineering, and manufacturing operations, the company generates large volumes of data. They are now developing a data management capability to enable the business to use its many sources of data more effectively and productively.

This is where you fit in.

Reporting to the Head of Data Management, you will build and support a new data platform architecture; built on Azure with the Databricks Lakehouse concept and Azure IoT services as its prime tech stack.

Make the move into one of the world’s most in-demand and resilient sectors where the outcomes have the power to impact the way we live.



Flexibility – work on a remote basis in this role with occasional visits on-site for ad-hoc meetings.

Impact – not only will you impact your immediate team, but your work will have the potential to shape and advance new green technologies.

Stability – you can rest assured that this is a financially-secure business operating in a critical sector. Due to the nature of the technology and focus on green energy, there is a lot of partnership investment, meaning a constant flow of license fee revenue.

Culture – join a harmonised and nurturing culture where everyone is motivated by achieving one clear goal.

R & D Focus – by working for an R&D business, you will work on a unique business model where new developments are a driving force.

Package and benefits – £55k + benefits (including pension package, discounted shares scheme, healthcare & wellbeing policy).


Skills/experience required:

  • 2-5 years of experience in Data Engineering
  • 2+ years of Databricks experience
  • Working knowledge of Azure Data Lake, Databricks, Spark and Azure IoT services
  • Python, Solid SQL / T-SQL and data warehousing experience, plus familiar with Azure DevOps (including CI/CD pipelines).


Find out more

For the full story on the business, their product, the role and the rewards, please click the enquire today button.

Enquire today
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