At a Glance
- Tasks: Design and build modern data products for smarter energy systems.
- Company: Join a forward-thinking company shaping the UK's energy future.
- Benefits: Competitive salary, bonus, generous pension, and flexible benefits.
- Other info: Hybrid working in a dynamic environment with excellent career growth.
- Why this job: Make a real impact on sustainability with cutting-edge data solutions.
- Qualifications: Hands-on experience in data engineering with SQL and Python.
The predicted salary is between 60000 - 72000 £ per year.
Build the data products powering the UK’s energy future. As a Lead Data Engineer, you’ll design and build modern data products that enable smarter, faster, and more sustainable energy systems – at national scale. In this role you can enjoy hybrid working with regular collaboration in Warwick.
Shape the future of energy through high-impact data solutions:
- Influence billion-pound infrastructure decisions
- Build cutting-edge cloud data products
- Join a growing, forward-thinking data community
- Work with national-scale infrastructure data (energy, assets, network planning)
- Drive real-world sustainability and environmental outcomes
What you'll do:
- Build scalable data pipelines powering critical decisions
- Turn complex data into actionable insights for engineering and planning
- Partner with stakeholders to solve real infrastructure challenges
- Lead end-to-end data product delivery – from concept to adoption
- Drive outcomes through BI, integration and advanced analytics
- Champion data quality, governance and reliability
- Take technical ownership while coaching junior engineers
What you'll bring:
- You’re a hands-on Data Engineer passionate about building scalable, high-quality data products.
- Build what matters – Deliver insight at scale
- Own the pipeline – Design end-to-end data flows
- Engineer at scale – Work with complex, high-volume datasets
- Modern architecture – Snowflake, Microsoft Fabric, Data Lakehouse
- Quality by design – Governance, validation and trusted data
- Collaborate and influence – Drive adoption and real value
Your toolkit:
- SQL and Python (essential)
- Microsoft ADF and DBT (essential)
- Snowflake / Microsoft Fabric / Data Lakehouse
- Microsoft Power BI / Tableau
- Git / DataOps.live
Nice to have:
- Cloud / DevOps certifications
What you'll get:
A competitive salary between £60,000 - £72,000 – dependent on capability. As well as your base salary, you will receive a bonus based on personal performance and a competitive contributory pension scheme where we will double match your contribution to a maximum company contribution of 12%. You will also have access to a number of flexible benefits such as a share incentive plan, salary sacrifice car and technology schemes, support via employee assistance lines and matched charity giving to name a few.
This role closes on 28 June 2026 at 23:59, however we encourage candidates to submit their application as early as possible and not wait until the published closing date as this can vary. Interviews to be held week commencing 13 July 2026.
We value diversity and are committed to creating an inclusive workplace for all. We welcome applications from all suitably qualified candidates – we make appointments purely on merit, assessed against objective selection criteria. We support flexible working and will make reasonable adjustments throughout the recruitment process should you have any physical or mental impairment which may affect your ability to participate in the process. Please note that in most cases, National Grid is unable to offer sponsorship for employment under the UK points-based immigration system. As such, applicants must have the legal right to work in the UK without requiring sponsorship now or in the future under the UK points-based immigration system. However, in exceptional circumstances where there is a clear and demonstrable need for specialist skills that cannot be sourced from the local labour market, National Grid may consider offering sponsorship. All applications are welcome from candidates who meet these requirements, regardless of race, nationality, or ethnic origin.
Lead Data Engineer in Warwick employer: National Grid plc
At National Grid, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Warwick. As a Lead Data Engineer, you'll not only contribute to shaping the UK's energy future but also enjoy a competitive salary, generous pension contributions, and flexible benefits tailored to support your personal and professional growth. Join our forward-thinking data community where your expertise will drive real-world sustainability outcomes and influence critical infrastructure decisions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in Warwick
✨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 National Grid plc!
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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 National Grid plc.
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We think you need these skills to ace Lead Data Engineer in Warwick
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 National Grid plc, 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 National Grid plc. 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 National Grid plc
✨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 National Grid plc!
✨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.
