Senior Geospatial Data, GIS Scientist

Netcompany

. Design, develop, and maintain geospatial solutions using GIS platforms, spatial databases, and open-source geospatial technologies .

Posted 10/7/2026contractRemote • LuxembourgSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing geospatial solutions using GIS platforms and spatial databases, with strong proficiency in Python for geospatial data processing and cloud-based analytics in Azure, AWS, or Google Cloud. Capable of integrating geospatial data within enterprise architectures while ensuring adherence to data governance and interoperability standards.

Highest-signal resume keywords

GIS Platform DevelopmentPython Programming for Geospatial ProcessingCloud-Based Geospatial AnalyticsSpatial Database TechnologiesData Integration and Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GIS TechnologiesPythonSQLSpatial SQLPostGISGeoPandasArcGISQGISAzureAWS

Soft Skills

Analytical SkillsProblem-SolvingCommunicationStakeholder ManagementCollaboration

Tools & Technologies

GeoServerGDAL/OGRXarrayShapelyFiona

Industry Keywords

Geospatial SolutionsData LakeLakehouse ArchitectureMetadata StandardsInteroperability Principles

Tech Stack

Tools & technologies

AWSAzureCloudPostGISPythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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