Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform complex data into actionable insights for critical national infrastructure.
- Company: Join EDF, a leader in sustainable energy and analytics.
- Benefits: Remote work flexibility, competitive salary, and commitment to diversity and inclusion.
- Other info: Agile environment with opportunities for personal and professional growth.
- Why this job: Make a real impact on Britain's journey to net zero with innovative data solutions.
- Qualifications: Experience in analytics, data modelling, and collaboration across teams.
The predicted salary is between 45000 - 55000 £ per year.
Ready to turn complex data into trusted insights that power critical national infrastructure? Want to work at the forefront of analytics in a highly regulated, high-impact environment while helping Britain achieve net zero? At EDF, you’ll play a vital role in transforming complex data into meaningful, actionable insight that supports safe and efficient nuclear operations.
Working within Nuclear Operations and IT Services, you’ll contribute to EDF’s journey towards An Electric Britain by delivering scalable, user-centred data platforms that enhance operational performance, predictive capability, and long-term sustainability. You’ll collaborate across engineering, operations, maintenance, and compliance, enabling smarter, data-driven decision-making in a critical national environment. This is a primarily remote role, with occasional in-person sessions at our Gloucester Business Park office.
What You’ll Be Doing
- Designing, building, and maintaining analytics solutions that deliver operational and strategic insight
- Developing data models, pipelines, and transformations to support reporting and advanced analytics
- Collaborating with engineering, operations, and business teams to understand and translate data needs
- Ensuring data quality, governance, security, and ethical AI standards are consistently met
- Supporting predictive analytics and performance optimisation initiatives
Who You Are
We’re looking for an Analytics professional 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.
Our Values: What You Can Expect When You Join Us
We move with agility, embracing change and responding quickly to new challenges and opportunities. We pursue excellence in everything we do and act with integrity, always choosing to do what’s right. Trust, respect and transparency are the foundation of our culture, and we hold ourselves accountable to the highest ethical standards.
Closing date for applications is 5th May; interviews will follow shortly after.
Analytics & Data Engineer employer: EDF UK
Contact Detail:
EDF UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics & Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at EDF or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytics projects. Whether it's data models or visualisations, having tangible examples can really impress during interviews.
✨Tip Number 3
Prepare for the interview by understanding EDF's mission and values. Tailor your answers to show how your experience aligns with their goals, especially around sustainability and data-driven decision-making.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the team at EDF.
We think you need these skills to ace Analytics & Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Analytics & Data Engineer. Highlight your experience with data models, pipelines, and any relevant projects that showcase your ability to turn complex data into actionable insights.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about analytics and how you can contribute to our mission at EDF. Share specific examples of your work that align with our values and the responsibilities outlined in the job description.
Showcase Your Collaboration Skills: Since this role involves working with various teams, emphasise your ability to collaborate effectively. Mention any past experiences where you’ve worked cross-functionally to meet data needs or improve operational performance.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at EDF UK
✨Know Your Data Inside Out
Before the interview, dive deep into the types of data you'll be working with. Understand the nuances of data models, pipelines, and transformations relevant to the role. This will not only help you answer technical questions confidently but also show your genuine interest in the position.
✨Showcase Your Collaboration Skills
Since this role involves working closely with engineering, operations, and business teams, be prepared to discuss past experiences where you've successfully collaborated across different departments. Highlight specific projects where your teamwork led to improved outcomes or insights.
✨Emphasise Ethical Standards
Given the importance of data quality, governance, and ethical AI standards in this role, be ready to talk about how you've ensured these aspects in your previous work. Share examples that demonstrate your commitment to maintaining high ethical standards in data handling.
✨Prepare for Predictive Analytics Questions
Brush up on predictive analytics concepts and be ready to discuss any relevant tools or methodologies you've used. Think of specific instances where your analytical skills led to performance optimisation, as this will resonate well with the interviewers.