Geospatial Specialist (Geospatial Data Scientist)
Core
Design and implement geospatial data preparation workflows, processing, and validation for client projects involving raster and vector datasets.
Role type
Senior IC geospatial data scientist
Builds
Geospatial datasets, map services, APIs, and visualization layers for downstream analytics
Domain
ICT Services / Geospatial Data Engineering
Required skills
GIS tools (ArcGIS, QGIS, GDAL/OGR), Python (GeoPandas, Rasterio), SQL/PostGIS, Cloud geospatial processing (Azure/AWS/GCP), Data lake integration, Metadata standards (ISO 19115, DCAT)
Preferred skills
SDMX, environmental indicators, statistical/geospatial integration (via careerplan.io/jobs/352a7e7e-4715-470e-b7d3-19db226b9c63-geospatial-specialist-geospatial-data-scientist-at-telekom-hellenic-business-solutions-sa)
Technologies
ArcGIS, QGIS, GDAL/OGR, GeoPandas, Rasterio, Shapely, Fiona, PyProj, Xarray, PostGIS, SQL Server, GeoServer, MapServer, Azure, AWS, Google Cloud, GeoJSON, Shapefile, KML/KMZ, CSV, GeoTIFF, WMS, WFS, WCS, OGC API
Responsibilities
Review project requirements and assess geospatial data readiness; Design and implement geospatial data preparation workflows including geometry validation and reprojection; Support raster and vector data processing for downstream analytics; Implement geoprocessing functions like buffering, proximity analysis, and spatial aggregation; Provide technical input on geospatial service requirements and interoperability; Work with data engineering teams to integrate geospatial datasets into governance workflows; Define and execute geospatial validation activities; Advise on geospatial performance considerations; Prepare technical documentation and handover materials.
Seniority
Senior, hands-on IC
