Data Engineer (Databricks & Azure) - Clean Energy

JR United Kingdom; England; On-site; GBP 50,000 - 70,000; Full time

Job summary

Join a leading clean energy client as a Data Engineer, contributing to innovative green technologies. Work on a cutting-edge Azure Databricks platform, building data pipelines that support a zero-carbon future. Collaborate with skilled professionals in a dynamic environment focused on impactful work and innovation.

Benefits

Impactful Work

Culture of Innovation

Secure Growth

Purpose-Driven Mission

Qualifications

• 18 months or more of Databricks experience.
• Expertise in Azure Data Lake, Python, and CI/CD pipelines using Azure DevOps.

Responsibilities

• Build and maintain robust, secure data pipelines and models.
• Collaborate closely with data scientists and simulation engineers.

Skills

Databricks

Python

Data Governance

Problem Solving

Tools

Azure Data Lake

CI/CD pipelines

Azure DevOps

Unity Catalog

Job description

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Data Engineer (Databricks & Azure) - Clean Energy, south east england

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Client:

Data Science Talent

Location:

south east england, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

16.05.2025

Expiry Date:

30.06.2025

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Job Description:

Location: South East England (Hybrid - 1 day onsite per week)

18 months. That’s all the time it took for the client’s Databricks platform to evolve into a key driver of innovative green technologies. Now, they’re looking for someone to take it even further.

Imagine joining a forward-thinking client at the forefront of clean energy innovation. Your work will directly contribute to a zero-carbon future by supporting advancements in electrolysis for green hydrogen production and fuel cells for future power solutions. Through powerful partnerships with major multinational companies, the client’s solid oxide platform is transforming energy systems and helping decarbonise emissions-heavy industries like steelmaking and future fuels.

What’s the Role?

You’ll join a highly skilled data team, part of a broader department focused on modelling and digitalisation. This team develops and maintains a cutting-edge Azure Databricks Data Lakehouse platform to support all core business functions. Your primary goal will be building and maintaining robust, secure data pipelines and models that deliver trusted datasets to internal and external stakeholders, enabling data-driven decisions across the organisation.

As a Data Engineer, you will maintain, monitor, and enhance the Databricks platform that powers the client’s data services. You’ll work on building robust pipelines using Azure Data Lake and Python while collaborating closely with data scientists, simulation engineers, and the wider business.

Reporting to the Head of Data Management, you’ll be a part of a collaborative team focused on data governance, engineering, and strategy. This role offers the chance to make a visible impact in a dynamic, fast-evolving field.

Why Join?

• IMPACTFUL WORK: Help revolutionise electrolyzer technology, accelerating clean hydrogen production and decarbonisation on a global scale.
• SEE RESULTS QUICKLY: Your work will directly influence live projects, delivering measurable results in real-world applications.
• CULTURE OF INNOVATION: Collaborate with forward-thinking professionals in an environment where experimentation and creativity are encouraged.
• SECURE GROWTH: Join a financially robust organisation investing heavily in cutting-edge technologies and talent development.
• PURPOSE-DRIVEN MISSION: Be part of a team dedicated to advancing green technologies and creating a sustainable future.

What You Can Add

We’re looking for someone who thrives on solving complex problems and working in fast-paced environments. Here’s what you’ll need:

• 18 months or more of Databricks experience, with a strong background in managing and maintaining data services on the platform.
• Expertise in Azure Data Lake, Python, and CI/CD pipelines using Azure DevOps.
• Practical experience in industries like manufacturing, product development, or automotive, with a focus on real-world applications.
• Familiarity with data modelling, governance, and digitisation.
• Bonus: Knowledge of Unity Catalog in Databricks.

Ready to shape the future of clean energy? Apply now to join our client as a Data Engineer and help drive the green energy revolution.