Senior Geospatial Data, GIS Scientist

Posted 1 day ago

This is a fully remote position, open to applicants in Luxembourg.

📋 Description

• 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.


⛳️ Requirements

• 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.


🏝️ Benefits

• 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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