Senior Geospatial Data, GIS Scientist

• 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
• Integrate 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
• Provide recommendations to stakeholders and project teams
• Collaborate with multidisciplinary teams
• Communicate technical concepts, findings, and recommendations to technical and non-technical audiences

• 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 GeoPandas, Rasterio, Shapely, Fiona, PyProj, Xarray, or similar
• Experience with SQL and spatial SQL
• Experience with spatial database technologies such as PostGIS or SQL Server Spatial
• Hands-on experience with cloud-based geospatial processing and analytics in Azure, AWS, or Google Cloud
• Knowledge of data lake/lakehouse architectures, geospatial data integration, metadata standards, and interoperability principles
• Strong analytical and problem-solving skills
• 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 an asset

• Remote work option
• Opportunity to work alongside experienced professionals
• Work on challenging, large-scale projects impacting millions of citizens
• Diverse and inclusive workplace
• Equal opportunities, treatment, and consideration
• Confidential application handling