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- Tasks: Investigate and clean complex energy datasets while building data systems for a renewable electricity grid.
- Company: Join a leading renewable energy company with significant funding and industry influence.
- Benefits: Competitive salary, hybrid working, and opportunities to develop rare expertise in energy markets.
- Other info: Dynamic role focused on real-world data challenges in a collaborative environment.
- Why this job: Make a meaningful impact on the UK's power grid while working with modern data tools.
- Qualifications: Recent graduate in a quantitative field with strong Python and SQL skills.
The predicted salary is between 36000 - 60000 ÂŁ per year.
With hundreds of millions of pounds in funding, this company will play a critical role in the transition away from fossil fuels. This role offers the opportunity to work closely with industry leaders while helping to build the data systems required for a 100% renewable electricity grid.
Are you a methodical graduate who enjoys the “detective work” behind real-world data? This position goes beyond building pipelines – you’ll work hands-on with the complex, messy data that underpins UK energy markets, trading, and grid analytics. This is a rare opportunity to develop deep expertise in GB balancing market data using a modern data stack (Python, dbt, PostgreSQL, GitHub Actions), with no legacy Excel workflows.
The Role
- Perform data detective work: Investigate, map, and clean complex energy datasets — for example, cross-referencing Elexon API data with manual research to correctly link power plants and substations.
- Wrangle real-world data: Reconcile legacy data formats, manage time-series outliers, and resolve inconsistencies across different energy market message types.
- Build and automate: Write Python scripts to ingest data from National Grid ESO and Elexon APIs, using dbt and SQL to implement transformation logic.
- Document critical insights: Maintain reference datasets and clearly document mappings, assumptions, and edge cases that support trading and operational decisions.
What You’ll Bring
- Education: A recent graduate in a quantitative discipline such as Computer Science, Physics, Mathematics, Engineering, or Economics.
- Python skills: Strong foundations in Python, with the ability to write clean, readable code using pandas and numpy.
- Data fundamentals: Comfortable using SQL to query and transform data, with a sharp eye for identifying when data doesn’t look right.
- The right mindset: Patient with ambiguity, methodical in approach, and genuinely interested in energy markets or sustainability.
Please note: this is an investigation-heavy role. It’s not suited to those who expect perfectly clean datasets or want to focus purely on cloud infrastructure or DevOps.
Why Join Us?
- Meaningful impact: Work on data that directly influences how the UK power grid is balanced.
- Hybrid working: A collaborative environment with regular time in our London office (4 days per week).
- Develop rare expertise: Build highly valuable knowledge of the UK’s complex energy infrastructure.
- Modern data stack: A reproducible, scalable environment built with modern tools and best practices.
Data Specialist in Wolverhampton employer: SR2 | Socially Responsible Recruitment | Certified B Corporation
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Specialist in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend local meetups. We can’t stress enough how important it is to make connections in the renewable energy sector – you never know who might help you land that Data Specialist role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects or any data wrangling you've done. We love seeing practical examples of your detective work, so don’t hold back – let your work speak for itself!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of energy markets and data systems. We recommend researching common interview questions for data roles and practising your responses. Confidence is key, so be ready to discuss your passion for sustainability!
✨Tip Number 4
Apply through our website! We want to see your application directly, and it gives you a better chance to stand out. Make sure to tailor your application to highlight your relevant skills and experiences that align with the Junior Data Specialist role.
We think you need these skills to ace Data Specialist in Wolverhampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Junior Data Specialist role. Highlight your Python and SQL skills, and any relevant projects or coursework that showcase your detective work with data.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about renewable energy and how your background makes you a great fit for this role. Be genuine and let your enthusiasm shine through!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled messy datasets or resolved inconsistencies in data. We love seeing your methodical approach to problem-solving, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in the renewable energy sector!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in your projects, especially with pandas and numpy. This role is all about data detective work, so showing your familiarity with the modern data stack will definitely impress.
✨Understand the Energy Market
Do some homework on the UK energy market and the transition to renewable energy. Being able to talk about current trends or challenges in the sector will show your genuine interest and help you stand out as a candidate who’s not just looking for any job, but this specific one.
✨Prepare for Problem-Solving Questions
Expect questions that test your analytical thinking and problem-solving skills. Think of examples where you've had to wrangle messy data or resolve inconsistencies. Practising how you articulate your thought process can really showcase your methodical approach.
✨Show Your Passion for Sustainability
This role is about more than just data; it’s about making a meaningful impact. Be prepared to share why sustainability matters to you and how you see your role contributing to a greener future. Your enthusiasm can be a key differentiator in the interview.