GIS Data Engineer
On-site · Madrid, Madrid, Spain
Job Summary
GIS Data Engineer responsible for extracting and transforming geospatial layer data into tabular attributes to enable spatial cross-matching with risk data for credit/ESG scoring. Key duties include extracting geometries (polygons, points) from GIS layers into tabular attributes (coordinates, areas, distances, risk classifications), performing spatial joins between risk layers and client/asset locations to determine membership, proximity, or exposure levels, defining and documenting cross-methodology Criteria (inclusion criteria, applicable return periods, distance buffers, overlap handling), producing clean tabular datasets (CSV/tables) ready for integration into the client risk data pipeline, validating data quality against sources, and documenting the process to ensure reproducibility and transferability to the client’s internal team. Desirable experience includes financial/insurance sector exposure, climate/risk data sources, and Python (geopandas, shapely) for automation; strong SQL and geoprocessing tool expertise (CARTO, ArcGIS/Esri, QGIS) with PostGIS or similar spatial databases; ability to translate spatial concepts into business terms for risk and data teams.
Required Qualifications
- At least 3-5 years of experience in geoprocessing projects
- Experience with GIS tools (CARTO, ArcGIS/Esri, QGIS or equivalents)
- Strong knowledge of geoprocessing operations (spatial join, attribute extraction from geometry, buffers, intersections, export to tabular formats)
- Experience with standard GIS formats (shapefile, GeoJSON, KML/KMZ, GeoPackage)
- Ability to work with spatial databases (PostGIS, BigQuery GIS, Snowflake with geospatial extensions)
- Advanced SQL for spatial data and business-tabular data integration
- Spanish language proficiency (explicit in posting)
- Desirable: experience in financial/insurance sector, climate risk or ESG projects, Python (geopandas, shapely) for automation
- Ability to liaise with non-GIS risk/data teams to translate spatial concepts into business terms
- Document processes for reproducibility and transfer to client team
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