Data Engineer

British Gas
Leicester
1 week ago
Create job alert

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.


Data Engineer
Location

Leicester or Reading areas


Full-Time – Permanent

We work in a hybrid, Flexible First way — with regular collaboration across our Data & Analytics teams to support high‑quality data delivery and cross‑functional engagement.


The Job

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.


Key Responsibilities

  • 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.

The Person

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.


Qualifications & Experience

  • 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.

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.


Visit the link below to discover why we’re a great place to work and what being part of more means for you.


https://www.morethanacareer.energy/britishgas


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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.