Senior Geospatial Data & GIS Scientist (freelance)
Core
Design, develop, and maintain geospatial solutions, data platforms, and cloud-based GIS services for EU institutions and organizations.
Role type
Senior Geospatial Data & GIS Scientist (freelance)
Builds
Geospatial data platforms, cloud-based processing solutions, and enterprise analytics architectures
Domain
Geospatial technologies, Cloud Computing, Data Engineering
Deliverable
production ML models
Required skills
Python (GeoPandas, Rasterio, Shapely), SQL (PostGIS, SQL Server Spatial), GIS platforms (ArcGIS, QGIS), Cloud environments (Azure, AWS, Google Cloud), Spatial databases, Data lake/lakehouse architectures, Metadata standards (ISO 19115, DCAT)
Preferred skills
SDMX, environmental indicators, statistical-geospatial integration
Technologies
ArcGIS, QGIS, PostGIS, GeoServer, GDAL/OGR, Azure, AWS, Google Cloud, GeoPandas, Rasterio, Shapely, Fiona, PyProj, Xarray
Responsibilities
Design and develop geospatial solutions using GIS platforms and spatial databases; Perform geospatial data processing, analysis, and automation; Develop and optimize spatial databases and data integration workflows; Implement cloud-based geospatial processing solutions; Ensure adherence to metadata standards and data governance principles; Assess technical feasibility and provide recommendations to stakeholders.
Seniority
Senior, hands-on IC
