Senior Geospatial Data & GIS Scientist (freelance)
Read straight from Net Company 1's careers page, verified 1d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
LocationLuxembourg, Luxembourg, lu
Work moderemote
Typecontract
SenioritySenior
Company size5,001–10,000 people
PostedOct 7, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the 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
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
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
Skills
ArcGIS
QGIS
PostGIS
GeoServer
GDAL/OGR
Python
GeoPandas
Rasterio
Shapely
Fiona
PyProj
Xarray
SQL
SQL Server Spatial
Azure
AWS
Google Cloud
SDMX
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/
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:
Responsibilities
•
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
Benefits
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!
Hiring process
Please upload your CV in English via the Apply button. All applications will be treated as strictly confidential.
Legal
We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our everyday working experience.
In the following link you may find our CV Submission privacy notice: https://netcompany.com/cv-submission-privacy-notice/