Netcompany
Netcompany
Netcompany is a European IT and consulting company that develops digital solutions for businesses, governments, and citizens. Its work includes customizable, AI-ready platforms and intelligent services designed to improve productivity, strengthen connections between organizations and the people they serve, and support responsible digitalization. The company’s focus spans technology, consulting, and logistics, with an emphasis on digital rights, transparency, security, and dependable public and private-sector services.

Senior Geospatial Data and GIS Scientist (Remote, Luxembourg)

Senior GIS Scientist role focused on cloud geospatial platforms, spatial data engineering, and analytics. Contribute to European digitalisation projects through data integration, governance, and geospatial solutions.

Description

  • Build and maintain geospatial solutions across GIS platforms, spatial databases, and open-source technologies
  • Process, analyse, transform, and automate geospatial data with Python and spatial analytics tools
  • Design and improve spatial databases, data models, and geospatial integration workflows
  • Deliver and support cloud geospatial processing and analytics in Azure, AWS, or Google Cloud
  • Connect geospatial data to data lake, lakehouse, and enterprise analytics architectures
  • Apply metadata, interoperability, governance, and open-data standards to geospatial work
  • Evaluate solution feasibility, technical risks, dependencies, and available options
  • Advise stakeholders and project teams on geospatial solutions
  • Work effectively with multidisciplinary teams
  • Explain technical concepts, findings, and recommendations to technical and non-technical audiences

Requirements

  • Bachelor’s degree in Geography, GIS, Geoinformatics, Computer Science, Data Science, Engineering, or a related discipline
  • Professional experience with desktop, server, and open-source GIS technologies, including ArcGIS, QGIS, PostGIS, GeoServer, GDAL/OGR, or comparable tools
  • Advanced Python skills for geospatial processing with GeoPandas, Rasterio, Shapely, Fiona, PyProj, Xarray, or similar libraries
  • Practical experience writing SQL and spatial SQL
  • Experience working with spatial database systems such as PostGIS or SQL Server Spatial
  • Hands-on background delivering cloud geospatial processing and analytics in Azure, AWS, or Google Cloud
  • Understanding of data lake and lakehouse architectures, geospatial integration, metadata standards, and interoperability principles
  • Strong analytical ability and a structured approach to solving problems
  • Commitment to data quality, reproducible work, clear documentation, and maintainable operations
  • Excellent English communication and stakeholder management skills
  • Capacity to work independently and contribute effectively within multidisciplinary teams
  • Familiarity with SDMX, environmental indicators, or statistical-geospatial integration is advantageous

Benefits

  • Remote working arrangement
  • Work with experienced professionals
  • Contribute to challenging, large-scale projects serving millions of citizens
  • Diverse and inclusive working environment
  • Equal opportunity, fair treatment, and equal consideration
  • Confidential handling of applications

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