At a Glance
- Tasks: Build and maintain data products that drive financial insights and support decision-making.
- Company: EDF, a leader in energy, committed to personal success and inclusivity.
- Benefits: Competitive salary, annual bonus, flexible working, and customisable benefits.
- Other info: Join a diverse team and enjoy excellent career growth opportunities.
- Why this job: Shape the future of finance with innovative data solutions in a dynamic environment.
- Qualifications: Experience in data pipelines, SQL, and server-side languages like Python or Java.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
Ready to build data products that power critical financial decisions at scale? Want to work with complex datasets, modern engineering practices, and shape insight across a dynamic business? At EDF, Success is Personal and you'll grow your data engineering career your way.
The Opportunity
As a Data Engineer in our Finance Systems and Analytics team, you'll help design and deliver data products that drive insight across key financial systems. Your work will support decision-making at scale, contributing to our journey towards An Electric Britain. Alongside a competitive salary and potential for an annual bonus, this role offers flexible working with occasional travel to our Exeter or London offices. You'll benefit from a hybrid approach, giving you the flexibility to balance remote working with team collaboration. You'll work across the full data lifecycle in a DevOps environment from discovery to deployment and optimisation. With opportunities to collaborate across teams and shape future data solutions, you'll build systems that deliver real commercial value.
Who You Are
As a Data Engineer, you're comfortable working with complex data and systems, and you take a structured, delivery-focused approach. You communicate clearly, work well in agile teams, and focus on outcomes that add value. To be shortlisted, you need to offer:
- Experience building and maintaining data pipelines and scalable data products using structured and unstructured data
- Strong knowledge of SQL, ideally within a Snowflake environment
- Experience with at least one server-side language such as Python, Java, Kotlin or NodeJS or experience with Alteryx
- Knowledge of event-driven, loosely coupled architectures and data processing patterns
- Experience working with CI/CD tools such as Jenkins, GitHub or Terraform
- Experience applying test-driven development or behaviour-driven development approaches
- Experience with automated testing techniques within data or software engineering environments
- Proven experience working in the energy industry
- Ability to translate complex data concepts to non-technical stakeholders
What You'll Be Doing
- Building and maintaining scalable data products that deliver insight across finance systems
- Designing and optimising ETL processes to ensure data integrity and performance
- Collaborating with engineers, analysts, and business teams to define and deliver data solutions
- Contributing to agile delivery, including planning, retrospectives, and continuous improvement
- Supporting the operational performance, monitoring, and reliability of data platforms
Pay, Benefits and Culture
Alongside a competitive salary and potential for an annual bonus, and a market-leading pension scheme, your package will include customisable benefits such as electric vehicle leasing, discounted gym membership, life assurance, tech vouchers, experience days, and more. At EDF, we believe there are multiple definitions of what it means to succeed. That's why we offer you the freedom to develop a career that's unique to you. Here, Success is Personal - it's your journey, powered by us. Everyone is welcome at EDF; we're committed to building a workforce that reflects gender balance, social mobility, and inclusion of minority ethnic backgrounds, LGBTQ+ communities, and those with disabilities. As a Disability Confident employer, we will support applicants requiring adjustments.
Closing date for applications is Sunday 12th July 2026. Success is Personal. It's your journey, powered by us. Join us and drive the transition towards An Electric Britain.
Data Engineer - Hybrid - London, UK in Grove employer: EDF
At EDF, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. As a Data Engineer in London, you'll enjoy the flexibility of hybrid working while contributing to impactful projects that drive financial insights across our systems. With a strong focus on personal growth, competitive benefits, and a commitment to diversity and inclusion, your career journey here is uniquely yours, powered by our support.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Hybrid - London, UK in Grove
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like EDF!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer - Hybrid - London, UK at EDF.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like EDF.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer - Hybrid - London, UK at EDF, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer - Hybrid - London, UK in Grove
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at EDF, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at EDF. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at EDF
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at EDF!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
