At a Glance
- Tasks: Help build the data foundation for renewable energy projects using cutting-edge technology.
- Company: Join a dynamic pre-seed team focused on revolutionising energy infrastructure in Europe.
- Benefits: Gain hands-on experience, work in a fast-paced environment, and contribute to meaningful projects.
- Other info: Enjoy a flexible, informal atmosphere with opportunities for growth and innovation.
- Why this job: Make a real impact in the renewable energy sector while developing your data engineering skills.
- Qualifications: Experience with Python, data engineering, and a passion for solving complex energy challenges.
The predicted salary is between 40000 - 50000 £ per year.
We're building Exator — the intelligence layer for renewable energy infrastructure development in Europe.
The work we automate — site analysis, grid coordination, permitting, capital structuring — is currently done by hand, on documents that go stale the moment they're written.
We're a small, pre‑seed team building Exator from inside a live development pipeline, working directly with operators who put real projects to ground.
What this is about
We're looking for someone to help with the data foundation underneath Exator — the pipelines that bring operator data and public sources together, and the structuring work that feeds feasibility scoring and ongoing monitoring.
The exact focus will depend on what's most useful at the time.
Areas you'd be working in
ETL work combining project and public datasets — grid, satellite, soil, cadastral, permitting; cleaning and structuring data for feasibility and monitoring use cases; occasionally turning feedback from customer and partner conversations into concrete data requirements.
This isn't a fixed brief — scope will move with what's needed.
- What would help
- Python data engineering experience — Pandas, SQL, ETL tooling; geospatial experience (Post GIS, raster processing) is a plus.
- Something to show — Git Hub or equivalent.
- Genuine interest in solving hard problems in energy infrastructure.
- What to expect
- Work that sits close to the core of what makes the product defensible.
- Exposure to data engineering, applied AI, and the energy sector together.
- An early‑stage environment — informal, fast-moving, and still finding its shape.
- #J-18808-Ljbffr
Data & Analytics employer: Infrahaus
Infrahaus is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the renewable energy sector. As a Data Engineer, you'll have the opportunity to contribute to meaningful projects that drive sustainability while enjoying professional growth through continuous learning and development. Located in Europe, our team thrives on diversity and creativity, making it a rewarding place to advance your career in energy infrastructure analytics.
