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.
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.
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.
Send a CV or GitHub link, and a few lines on why this interests you, to hello@infrahaus.ai. We read everything ourselves.