EU remote
Geospatial Data Engineer (Freelance possible)
About this role
📋 Tasks and responsibilities As Geodata Engineer, you contribute to the management, analysis and publication of geospatial data that supports both operational work and strategic decision-making. You help maintain and further develop geospatial platforms, datasets and analytical capabilities, and you translate business needs into dependable geospatial solutions. You join an established geospatial team and work on the maintenance and improvement of datasets, spatial processing flows and interactive mapping services.
🛠️ Responsibilities: Design, build and maintain geospatial data integration and transformation workflows with FME and related technologies. Manage, maintain and optimize geospatial datasets and data models in PostgreSQL/PostGIS environments. Carry out spatial analyses to support operational activities, strategic decisions and business requests. Interpret spatial patterns, trends and geographic information and turn them into useful insights for stakeholders.
Create thematic maps, spatial indicators and geospatial reporting outputs. Safeguard the quality, consistency and reliability of geospatial data assets. Maintain and enrich geospatial reference datasets. Support business users in defining and implementing geospatial data requirements. Contribute to the maintenance, administration and further evolution of the interactive mapping platform. Implement new maps, layers, functionalities and visualizations in line with business needs.
Investigate incidents, resolve data-related issues and help improve geospatial services on a continuous basis. Produce and keep technical and functional documentation up to date. Work closely with business teams, geodata engineers and data analysts in an Agile environment. 📝 Your profile You have 3 to 7 years of professional experience in GIS, geospatial data engineering or geospatial analytics. You bring proven hands-on experience with PostgreSQL/PostGIS for geospatial data management, spatial querying and spatial SQL.
You have solid experience with FME for geospatial ETL, automation and data integration. You have strong practical knowledge of QGIS for data editing, analysis, visualization and cartographic production. You use Python for geospatial data processing, automation, analysis and the integration of GIS workflows. You have experience performing spatial analysis and translating business questions into geospatial insights. You have a good command of geospatial data modelling, spatial databases and SQL.