Data / AI Engineer

Role overview This role builds the data pipelines that transform fragmented public records, licensed feeds, and geospatial inputs into a queryable, comparable data model spanning multiple Central and Eastern European markets. The work emphasizes validation, freshness checks, and end-to-end provenance, with any personal information handled in line with EU GDPR requirements.

Responsibilities - Design and run ingestion plus structuring pipelines for registries, public statistics, licensed feeds, and assorted signals. - Layer in cross-source validation, freshness monitoring, and outlier checks so weak or stale inputs are flagged rather than silently propagated. - Shape the underlying data model so it stays comparable and current across markets. - Maintain provenance and processing reproducibility from raw input through to delivered dataset.

Requirements - Hands-on experience building production data pipelines, primarily in Python and SQL. - Familiarity with geospatial tooling such as PostGIS considered a plus. - Preference for simple, reliable system designs over clever or fragile ones. - Strong commitment to data provenance, reproducibility, and lawful data handling.