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- Tasks: Transform complex data into actionable insights for critical national infrastructure.
- Company: Join EDF, a leader in nuclear operations and sustainability.
- Benefits: Competitive salary, flexible remote work, and a commitment to diversity and inclusion.
- Other info: Collaborative environment with opportunities for personal growth and career development.
- Why this job: Make a real impact on Britain's journey towards net zero with innovative data solutions.
- Qualifications: Experience in data engineering, analytics, and coding with SQL, Python, or R.
The predicted salary is between 47513 - 84595 £ per year.
About the Role
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, Success is Personal – and with us, your career journey is yours to shape.
As an Analysis & Data Engineer, 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 the opportunity to connect and collaborate in person at our Gloucester Business Park office once or twice a month. These sessions are designed for planning, innovation, and strengthening team relationships, giving you the flexibility to work from home while staying closely aligned with colleagues and stakeholders.
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 & Data Engineer who thrives in complex, regulated environments and is passionate about delivering high-quality, scalable data solutions. You bring a strong foundation in data engineering and analytics, combined with a disciplined approach to governance, quality, and collaboration.
Are you experienced in…?
- Developing and deploying end-to-end data pipelines and analytical data models across complex environments
- Writing and optimising code using SQL, Python and/or R, with experience in cloud-based ML platforms such as Azure ML or Databricks
- Integrating multiple data sources into governed, reliable platforms with strong data quality, lineage, and documentation practices
- Translating business requirements into scalable analytics solutions, including reporting and semantic layers
- Operating and improving data platforms through monitoring, automation, and sound software engineering practices
- Applying data governance, model validation, and ethical AI principles in real-world scenarios
- Working effectively within multidisciplinary teams to deliver complex, cross-functional projects
Degree in Data Science, Computer Science, Engineering, or a related field (postgraduate qualifications preferred).
To be appointed to this role, you will need to meet the criteria for Security Clearance (SC), which will, ordinarily, require you to have British residency for the last five years.
Pay, Benefits and Culture
We are offering a starting salary of between £47,513 and £84,595, with terms and conditions covered by the EDF Nuclear Generation Company Agreement. The starting salary for the appointment will be dependent on your existing salary, competence, experience and qualifications.
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.
Join us and find your success at EDF!
Our Values: What You Can Expect When You Join Us
As you consider joining EDF Nuclear Operations, we want you to know what drives us. Our values are more than words, they shape how we work, how we grow, and how we support one another.
- We move with agility, embracing change and responding quickly to new challenges and opportunities.
- We pursue excellence in everything we do.
- We act with integrity, always choosing to do what’s right.
These values are not just what we believe, they’re how we work. If they resonate with you, you’ll thrive here.
Closing date for applications is 5th May, interviews will follow shortly after.
We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.
Success is Personal. It's your journey, powered by us. Join us and drive the transition towards An Electric Britain.
Analytics & Data Engineer - Hybrid - Gloucester, UK in Painswick employer: EDF
Contact Detail:
EDF Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics & Data Engineer - Hybrid - Gloucester, UK in Painswick
✨Tip Number 1
Network like a pro! Reach out to current employees at EDF or in similar roles on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with SQL, Python, and data pipelines. Show us how you can turn complex data into actionable insights!
✨Tip Number 3
Don’t forget to showcase your collaborative spirit! Highlight any past experiences where you worked with multidisciplinary teams. We want to see how you can contribute to smarter, data-driven decision-making.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining us on this journey towards An Electric Britain.
We think you need these skills to ace Analytics & Data Engineer - Hybrid - Gloucester, UK in Painswick
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data engineering and analytics. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills: When detailing your experience, be specific about the tools and technologies you've used, like SQL, Python, or cloud platforms. We love seeing candidates who can demonstrate their technical prowess in real-world scenarios.
Highlight Collaboration Experience: Since this role involves working with various teams, share examples of how you’ve successfully collaborated in multidisciplinary environments. We value teamwork and want to know how you contribute to group success!
Apply Early!: Don’t wait until the last minute to submit your application. We might close the vacancy early if we get enough applications, so get your materials in as soon as you can through our website!
How to prepare for a job interview at EDF
✨Know Your Data
Make sure you brush up on your data engineering skills, especially in SQL, Python, and R. Be ready to discuss how you've developed and deployed end-to-end data pipelines in the past, as well as any experience with cloud-based ML platforms like Azure ML or Databricks.
✨Understand the Role
Familiarise yourself with the specific responsibilities of an Analytics & Data Engineer at EDF. Think about how your previous experiences align with their focus on delivering scalable, user-centred data platforms and enhancing operational performance.
✨Prepare for Collaboration Questions
Since this role involves working closely with multidisciplinary teams, be prepared to share examples of how you've successfully collaborated in complex environments. Highlight your ability to translate business requirements into actionable insights and solutions.
✨Emphasise Ethical Standards
Given the importance of data governance and ethical AI principles in this role, be ready to discuss how you've applied these standards in your work. Show that you understand the significance of data quality, security, and compliance in a regulated environment.