At a Glance
- Tasks: Design and optimise data products for one of the UK's largest energy projects.
- Company: Join Sizewell C, a key player in low-carbon energy innovation.
- Benefits: Enjoy competitive salary, 28 days annual leave, and a generous pension scheme.
- Other info: Flexible hybrid working and a collaborative team culture await you.
- Why this job: Make a real impact on sustainable energy while developing your career.
- Qualifications: Experience in analytics engineering and strong SQL skills required.
The predicted salary is between 70000 - 70000 £ per year.
Sizewell C's business is to design, finance, construct, commission, operate, maintain, and eventually decommission the nuclear power plant and related infrastructure at Sizewell C in Suffolk. Overall, whilst the Company is in the construction phase, the Boards' principal focus is on the development and construction of Sizewell C on time, on budget and to the highest quality and safety standards. The Company is maturing to meet all these requirements.
Sizewell C is economically regulated by OFGEM under the RAB model similar to other UK electricity distribution networks and Thames Tideway. Sizewell C construction strategy is to replicate the design of Hinkley Point C, using the majority of the same supply chain, but innovating in the way it is delivered to achieve savings in time and cost of around 20%. The CCO will need to be guided by and incorporate lessons learned from the Hinkley Point C commercial delivery to achieve Sizewell C's ambition.
Following Financial Completion and Revenue Commencement, Sizewell C is fully funded and is owned by The Secretary of State for Energy Security and Net Zero representing HM Government, La Caisse, Centrica, EDF and Amber Infrastructure.
Location: Based in London on a hybrid basis with travel to Suffolk as required. Contract: Permanent, full-time. Salary: £70,000k dependant on experience, plus benefits.
- Annual Leave: 28 days per annum, increasing to 30 days after 5 years of service, plus bank holidays.
- Bonus: 5% annual bonus.
- Pension Contributions: Defined Contribution Pension Scheme with up to 7.5% employee contribution 15% employer contribution.
Closing Date: Friday 19th June 2026.
Sizewell C is entering an exciting phase of growth as we mature into an independent organisation and continue building one of the UK's largest and most important energy projects.
About the Role: We are seeking a Senior Analytics Engineer to join our growing Data Centre of Excellence. You will play a critical role in designing, building, and optimising data products that enable data-driven decision-making across the Sizewell C programme and its supply chain. Working at the intersection of data engineering, analytics, and business intelligence, you will transform complex project and operational data into trusted, scalable, and actionable insights that support one of the UK's most ambitious infrastructure projects.
About You:
- Proven experience as a Senior Analytics Engineer, Analytics Engineer, or similar role.
- Advanced SQL skills and experience working with large-scale datasets.
- Strong knowledge of dimensional modelling, star schemas, and data warehousing principles.
- Strong understanding of data governance and data quality frameworks.
- Experience working with complex, cross-functional stakeholders.
- Ability to communicate technical concepts to non-technical audiences.
- Excellent problem-solving and analytical skills.
- Experience building analytics solutions using platforms such as Power BI, SQL Server, Azure Data Platform.
Why Join Us?
- Be part of one of the most important low‑carbon energy projects in the UK.
- Work in a mission‑driven environment that values innovation, integrity, and long‑term sustainability.
- Competitive salary, comprehensive benefits, and opportunities for career development.
- Flexible and hybrid working options.
Key Competencies:
- Humility: Recognise the value brought from different cultures and experiences. Be open to other's points of view and ideas, be willing to debate and to compromise.
- Positivity: Positively challenge poor quality and performance. Identify solutions at the lowest possible level. Encourage tier 1s and others to bring new ideas forward.
- Respect: Value the rules and environment in which we operate. Give and receive feedback with respect. Embrace and engage with new people and ideas.
- Solidarity: One team, working closely together and helping each other. Empowered teams always looking forward. Shared responsibility for delivering the project outcomes.
- Clarity: Communicate clearly and consistently. Promote collaboration and team alignment. Clearer and faster decision making. Drive simplification at all levels.
If this sounds like the next step in your career, we'd love to hear from you. Apply today.
When joining Sizewell C, you may wonder why you are contacted by colleagues with an EDF email or see the EDF logo on portals that you access and/or documentation you receive; this is because we have partnered with EDF for the provision of a number of support services whilst we complete a successful transition out of the EDF group.
At Sizewell C we encourage and embrace diversity and how it can improve our experience and performance at work. It is a requirement that those who join us have the right to work in the UK. Whilst sponsorship may be a possibility that we can explore, we are fully committed to local recruitment where possible, and those already holding the right to work in the UK. To be appointed to this role, you will need to meet the criteria for Security Vetting, which will, ordinarily, require you to have been a resident of the UK for at least three of the past five years.
Senior Analytics Engineer employer: Sizewell C
Sizewell C is an exceptional employer, offering a unique opportunity to contribute to one of the UK's most significant low-carbon energy projects. With a strong focus on innovation and sustainability, employees benefit from a competitive salary, comprehensive benefits, and flexible working arrangements, all within a collaborative and mission-driven environment that values diversity and personal growth.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer
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We think you need these skills to ace Senior Analytics Engineer
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 Sizewell C, 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 Sizewell C. 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 Sizewell C
✨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 Sizewell C!
✨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.
