Senior Geospatial Data & GIS Scientist (freelance)
Luxembourg, Luxembourg, Luxembourg
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s listing: Remote
From the employer’s posting- Employment
Contract — employment source
Employment type in the employer’s listing: Contract
From the employer’s posting
What you’ll work on
Full postingDesign, develop and maintain geospatial solutions on GIS platforms and spatial databases
Automate geospatial data processing and analysis using Python
Develop and optimize spatial databases and geospatial data integration workflows
Implement cloud-based geospatial processing and analytics in Azure, AWS or Google Cloud
Assess technical feasibility, risks and solution options, and advise stakeholders
From the employer’s posting
Design, develop, and maintain geospatial solutions using GIS platforms, spatial databases, and open-source geospatial technologies.
Perform geospatial data processing, analysis, transformation, and automation using Python and spatial analytics tools.
Develop and optimize spatial databases, data models, and geospatial data integration workflows.
Implement and support cloud-based geospatial processing and analytics solutions in Azure, AWS, or Google Cloud environments.
Assess technical feasibility, risks, dependencies, and solution options, providing recommendations to stakeholders and project teams.
What you’ll bring
All qualificationsCore experience
- 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 equivalent.
- Strong Python programming skills for geospatial processing using libraries such as GeoPandas, Rasterio, Shapely, Fiona, PyProj, Xarray, or similar.
- Experience with SQL and spatial SQL, including spatial database technologies such as PostGIS, SQL Server Spatial, or equivalent.
- Hands-on experience with cloud-based geospatial processing and analytics solutions in Azure, AWS, or Google Cloud environments.
- Knowledge of data lake/lakehouse architectures, geospatial data integration, metadata standards (ISO 19115, DCAT/DCAT-AP, Dublin Core), and interoperability principles.
Qualification wording
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 equivalent.
Strong Python programming skills for geospatial processing using libraries such as GeoPandas, Rasterio, Shapely, Fiona, PyProj, Xarray, or similar.
Experience with SQL and spatial SQL, including spatial database technologies such as PostGIS, SQL Server Spatial, or equivalent.
Hands-on experience with cloud-based geospatial processing and analytics solutions in Azure, AWS, or Google Cloud environments.
Knowledge of data lake/lakehouse architectures, geospatial data integration, metadata standards (ISO 19115, DCAT/DCAT-AP, Dublin Core), and interoperability principles.
Education & alternatives
What would make you a fit for the role: - 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 equivalent.
Tools in this posting
- Python
- SQL
- AWS
- Azure
- SQL Server
- GCP
Source — Tool mentions in context
- Design, develop, and maintain geospatial solutions using GIS platforms, spatial databases, and open-source geospatial technologies. - Perform geospatial data processing, analysis, transformation, and automation using Python and spatial analytics tools. - Develop and optimize spatial databases, data models, and geospatial data integration workflows.
- Proven experience with GIS desktop, server, and open-source geospatial technologies such as ArcGIS, QGIS, PostGIS, GeoServer, GDAL/OGR, or equivalent. - Strong Python programming skills for geospatial processing using libraries such as GeoPandas, Rasterio, Shapely, Fiona, PyProj, Xarray, or similar. - Experience with SQL and spatial SQL, including spatial database technologies such as PostGIS, SQL Server Spatial, or equivalent.
- Strong Python programming skills for geospatial processing using libraries such as GeoPandas, Rasterio, Shapely, Fiona, PyProj, Xarray, or similar. - Experience with SQL and spatial SQL, including spatial database technologies such as PostGIS, SQL Server Spatial, or equivalent. - Hands-on experience with cloud-based geospatial processing and analytics solutions in Azure, AWS, or Google Cloud environments.
- Develop and optimize spatial databases, data models, and geospatial data integration workflows. - Implement and support cloud-based geospatial processing and analytics solutions in Azure, AWS, or Google Cloud environments. - Contribute to the integration of geospatial data within data lake, lakehouse, and enterprise analytics architectures.
- Experience with SQL and spatial SQL, including spatial database technologies such as PostGIS, SQL Server Spatial, or equivalent. - Hands-on experience with cloud-based geospatial processing and analytics solutions in Azure, AWS, or Google Cloud environments. - Knowledge of data lake/lakehouse architectures, geospatial data integration, metadata standards (ISO 19115, DCAT/DCAT-AP, Dublin Core), and interoperability principles.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 7, 2026 · 15 days ago
- Recorded sightings
- 77
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description
The Senior Geospatial Data & GIS Scientist provides expertise in geospatial technologies, spatial data management, cloud-based GIS solutions, and geospatial analytics. The role supports the design, implementation, integration, and optimization of geospatial data platforms and services while ensuring data quality, interoperability, governance, and compliance with relevant standards.
What would make you a fit for the role:
- Design, develop, and maintain geospatial solutions using GIS platforms, spatial databases, and open-source geospatial technologies.
- Perform geospatial data processing, analysis, transformation, and automation using Python and spatial analytics tools.
- Develop and optimize spatial databases, data models, and geospatial data integration workflows.
- Implement and support cloud-based geospatial processing and analytics solutions in Azure, AWS, or Google Cloud environments.
- Contribute to the integration of geospatial data within 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, dependencies, and solution options, providing recommendations to stakeholders and project teams.
- Collaborate with multidisciplinary teams and communicate technical concepts, findings, and recommendations to both technical and non-technical audiences.
Qualifications
What would make you a fit for the role:
- 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 equivalent.
- Strong Python programming skills for geospatial processing using libraries such as GeoPandas, Rasterio, Shapely, Fiona, PyProj, Xarray, or similar.
- Experience with SQL and spatial SQL, including spatial database technologies such as PostGIS, SQL Server Spatial, or equivalent.
- Hands-on experience with cloud-based geospatial processing and analytics solutions in Azure, AWS, or Google Cloud environments.
- Knowledge of data lake/lakehouse architectures, geospatial data integration, metadata standards (ISO 19115, DCAT/DCAT-AP, Dublin Core), and interoperability principles.
- Strong analytical and problem-solving skills, with attention to data quality, reproducibility, documentation, and operational maintainability.
- Excellent communication and stakeholder management skills in English
- Ability to work independently and collaboratively in multidisciplinary environments
- Understanding of SDMX, environmental indicators, or statistical-geospatial integration is considered an asset.
Additional Information
If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!
#LI-SS2
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Company Description
Are you ready to shape the future technological landscape in Europe?
We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/
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- Location & working pattern
Luxembourg, Luxembourg, Luxembourg
Working pattern and location restrictions need checking in the full posting.
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Additional Information If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be! #LI-SS2
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