
Senior Geospatial Data, GIS Scientist
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Luxembourg.
• Design, develop, and sustain geospatial solutions utilizing GIS platforms, spatial databases, and open-source geospatial technologies.
• Execute geospatial data processing, analysis, transformation, and automation through Python and spatial analytics tools.
• Create and enhance spatial databases, data models, and workflows for geospatial data integration.
• Implement and support cloud-based geospatial processing and analytics solutions across Azure, AWS, or Google Cloud environments.
• Integrate geospatial data within data lake, lakehouse, and enterprise analytics frameworks.
• Ensure compliance with metadata standards, interoperability requirements, data governance principles, and best practices for open data.
• Evaluate technical feasibility, risks, dependencies, and solution alternatives.
• Offer recommendations to stakeholders and project teams.
• Collaborate with multidisciplinary teams.
• Convey technical concepts, findings, and recommendations to both technical and non-technical audiences.
• Bachelor’s degree in Geography, GIS, Geoinformatics, Computer Science, Data Science, Engineering, or a related discipline.
• Demonstrated experience with GIS desktop, server, and open-source geospatial technologies such as ArcGIS, QGIS, PostGIS, GeoServer, GDAL/OGR, or similar.
• Proficient Python programming skills for geospatial processing using GeoPandas, Rasterio, Shapely, Fiona, PyProj, Xarray, or equivalent.
• Familiarity with SQL and spatial SQL.
• Experience with spatial database technologies like PostGIS or SQL Server Spatial.
• Practical experience with cloud-based geospatial processing and analytics in Azure, AWS, or Google Cloud.
• Understanding of data lake/lakehouse architectures, geospatial data integration, metadata standards, and interoperability principles.
• Strong analytical and problem-solving abilities.
• Attention to data quality, reproducibility, documentation, and operational maintainability.
• Exceptional communication and stakeholder management skills in English.
• Capability to work independently and collaboratively in multidisciplinary settings.
• Knowledge of SDMX, environmental indicators, or statistical-geospatial integration is a plus.
• Remote work option.
• Opportunity to collaborate with seasoned professionals.
• Engage in challenging, large-scale projects that affect millions of citizens.
• Diverse and inclusive work environment.
• Commitment to equal opportunities, treatment, and consideration.
• Confidential handling of applications.
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