Data Engineer in Leicester

Join us, be part of more. We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That’s why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it.

About your team: At British Gas, our mission is to sell it and mend it. We’ve been powering the UK’s homes and businesses for over 200 years – but supplying energy is just part of what we do. We’re making the UK greener and more energy efficient, getting closer to Net Zero. By using clever tech like thermostats, heat pumps, solar panels and EV chargers, we’re making it cheaper and easier for our customers to reduce their carbon footprint.

As a Data Engineer within British Gas Energy, you’ll design, build, and maintain scalable data pipelines and data models that power insights, analytics, and decision‑making across the business. You will work closely with Data Analysts, MI teams, and Data Scientists to ensure our data is accurate, accessible, and engineered for performance.

• Design and build robust ETL pipelines to integrate large datasets into the BGB Data Estate.
• Develop scalable data products to support analytics, reporting, and machine learning initiatives.
• Implement data quality checks, audits, and validation to ensure accuracy and reliability.
• Maintain and evolve our data architecture and cloud‑based infrastructure.
• Optimise data extraction, processing, and storage for performance and cost efficiency.
• Provide technical support, troubleshooting, and guidance to data users across the business.
• Document data engineering processes, best practices, and data lineage.

You’re a technically strong Data Engineer who enjoys solving complex data problems and delivering high‑quality solutions. You’re comfortable working with ambiguity, curious about new technologies, and motivated to work collaboratively with a broad range of stakeholders. You take pride in delivering reliable, well‑designed data pipelines and models that support operational and strategic decision‑making.

You’ll be analytical and detail‑oriented, with strong problem‑solving skills and the ability to work through moderately complex data engineering tasks even when things are ambiguous. You’ll communicate clearly, collaborate well with cross‑functional teams, and bring a positive, solutions‑focused approach to your work. With a growth mindset and a natural curiosity, you’ll always be looking for ways to learn, improve, and develop your skills.

• Significant experience in Data Engineering with proven experience building scalable pipelines and data models.
• Strong proficiency in SQL.
• Good working knowledge of cloud-based tools such as Microsoft Fabric and Databricks.
• Experience programming in Python, PySpark, or Scala.
• Familiarity with big data technologies such as Hadoop and Spark (advantageous).
• Degree in IT/Computer Science/Engineering or relevant professional qualification/certification.

If this role is of interest, please click Apply and a member of our team will be in touch.

Why should you apply? We’re not a perfect place – but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too.

If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.