At a Glance
- Tasks: Lead data engineering to deliver impactful financial data products and mentor fellow engineers.
- Company: EDF, a forward-thinking company committed to personal success and inclusivity.
- Benefits: Competitive salary, annual bonus, hybrid work, and customisable benefits like gym memberships and tech vouchers.
- Other info: Join a diverse team dedicated to building an inclusive workforce.
- Why this job: Shape the future of finance while growing your leadership skills in a dynamic environment.
- Qualifications: Experience in leading teams, strong coding skills, and knowledge of data engineering best practices.
The predicted salary is between 60000 - 80000 £ per year.
Ready to lead data engineering that powers critical financial decisions at scale? Looking to shape technical direction, mentor others, and deliver high-impact data products? At EDF, Success is Personal and this is your opportunity to grow your leadership and engineering career your way.
As a Senior Data Engineer within the Finance Data Squad, you'll lead the delivery of data products that underpin key financial systems and insights. Your work will directly support business performance, contributing to our journey towards An Electric Britain.
Alongside a competitive salary and potential for an annual bonus, this role is flexible with occasional travel to our Exeter or London offices. You'll benefit from a hybrid approach that supports both focused work and collaborative team engagement.
You’ll take a lead role in engineering delivery, shaping best practice across DevOps, data engineering, and agile ways of working. From mentoring engineers to driving quality and innovation, you’ll help build scalable solutions that deliver real commercial value.
Who You Are
As a Senior Data Engineer (FDS), you're a confident technical leader who combines strong engineering expertise with the ability to guide teams and influence outcomes. You focus on delivery, take ownership, and communicate clearly. To be shortlisted, you need to offer:
- Experience leading small to medium sized engineering teams within agile delivery environments
- Strong expertise in at least one server-side language such as Python, Java, Kotlin or NodeJS
- Knowledge of serverless, event-driven, and loosely coupled architectures
- Experience designing and integrating REST APIs and third-party services
- Commercial experience working with React or React Native and state management libraries
- Strong experience with CI/CD tooling such as Jenkins, GitHub or Terraform
- Experience applying test-driven development or behaviour-driven development practices
- Proven experience working within the energy industry
- Ability to communicate complex technical concepts to non-technical stakeholders
What You’ll Be Doing
- Leading the day-to-day engineering capability within the Finance Data Squad
- Delivering scalable data products and software components aligned to business priorities
- Driving quality through code reviews, testing practices, and engineering standards
- Mentoring and developing engineers to build capability and performance
- Collaborating with product owners, architects, and stakeholders to deliver value-focused solutions
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.
Senior Data Engineer - Hybrid - London, UK in Greenwich employer: EDF
At EDF, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Data Engineer in London, you'll enjoy a hybrid working model, competitive salary, and a range of customisable benefits, all while contributing to meaningful projects that drive the energy transition. With a strong focus on personal development and inclusivity, we empower our employees to shape their careers in a supportive environment where success is truly personal.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Hybrid - London, UK in Greenwich
✨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 Senior 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 Senior 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 Senior Data Engineer - Hybrid - London, UK in Greenwich
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.
