Role Overview Take ownership of preparing and maintaining geospatial datasets using QGIS (or similar tools) to support our R&D and production workflows. Key Responsibilities Ingest and manage large geospatial datasets (e.g., Shapefile, GeoJSON, etc). Filter, clean, and organize layers per project requirements. Perform spatial operations (select, clip, merge, join) and export deliverables. Document processes and maintain versioned datasets. Requirements Bachelor’s in CS/Civil/Geomatics or related field. Hands-on experience with QGIS. Understanding of GIS data formats and coordinate systems. Strong attention to detail and structured documentation. Preferred Experience with spatial joins, tiling/gridding, and geoprocessing automation. Familiarity with GDAL/OGR or Python libraries (GeoPandas, PyQGIS). Exposure to road-network datasets. Comfort working with large datasets and optimizing performance. What We Offer Opportunity to work on impactful road-safety products with global recognition. Collaborative environment bridging GIS, automotive R&D, and international partners. Growth path into advanced data engineering roles.
As a Geospatial Data Specialist, you will be responsible for preparing and maintaining geospatial datasets using QGIS or similar tools to support R&D and production workflows. - Ingest and manage large geospatial datasets such as Shapefile, GeoJSON, etc. - Filter, clean, and organize layers according to project requirements. - Perform spatial operations like select, clip, merge, join, and export deliverables. - Document processes and maintain versioned datasets. Qualifications: - Bachelor's degree in CS, Civil, Geomatics, or a related field. - Hands-on experience with QGIS. - Understanding of GIS data formats and coordinate systems. - Strong attention to detail and structured documentation. Preferred qualifications: - Experience with spatial joins, tiling/gridding, and geoprocessing automation. - Familiarity with GDAL/OGR or Python libraries such as GeoPandas, PyQGIS. - Exposure to road-network datasets. - Comfort working with large datasets and optimizing performance. The company offers: - Opportunity to work on impactful road-safety products with global recognition. - Collaborative environment bridging GIS, automotive R&D, and international partners. - Growth path into advanced data engineering roles.,