Senior Geospatial Data & GIS Scientist (Freelance)

About the role

Netcompany, a digitalisation consultancy with over 8,900 professionals across Europe, is hiring a freelance Senior Geospatial Data & GIS Scientist. The role covers geospatial technologies, spatial data management, cloud-based GIS solutions and geospatial analytics, supporting the design, implementation, integration and optimisation of geospatial data platforms and services while ensuring data quality, interoperability, governance and compliance with relevant standards.

Key responsibilities

• Design, develop and maintain geospatial solutions using GIS platforms, spatial databases and open-source geospatial technologies.
• Process, analyse, transform and automate geospatial data using Python and spatial analytics tools.
• Develop and optimise spatial databases, data models and geospatial data integration workflows.
• Implement and support cloud-based geospatial processing and analytics in Azure, AWS or Google Cloud environments.
• Contribute to integrating geospatial data into data lake, lakehouse and enterprise analytics architectures.
• Ensure adherence to metadata standards, interoperability requirements, data governance principles and open data best practices.
• Assess technical feasibility, risks and dependencies, and recommend solutions to stakeholders and project teams.
• Collaborate with multidisciplinary teams and explain technical concepts to technical and non-technical audiences.

Required profile

• Bachelor's degree in Geography, GIS, Geoinformatics, Computer Science, Data Science, Engineering or a related field.
• Proven experience with GIS desktop, server and open-source geospatial technologies such as ArcGIS, QGIS, PostGIS, GeoServer, GDAL/OGR or equivalents.
• Strong Python programming skills for geospatial processing with libraries such as GeoPandas, Rasterio, Shapely, Fiona, PyProj or Xarray.
• Experience with SQL and spatial SQL, including PostGIS or SQL Server Spatial.
• Hands-on experience with cloud-based geospatial solutions in Azure, AWS or Google Cloud.
• Knowledge of data lake/lakehouse architectures, metadata standards (ISO 19115, DCAT/DCAT-AP, Dublin Core) and interoperability principles.
• Excellent communication and stakeholder management skills in English, and ability to work independently and collaboratively.
• An understanding of SDMX, environmental indicators or statistical-geospatial integration is an asset.

Candidates apply by uploading their CV in English through the application form; applications are treated as strictly confidential.