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Senior Geospatial Data & GIS Scientist (freelance)

Luxembourg, Luxembourg, Luxembourg

Live, first seen by us 29 days ago
Pay
Pay not listed
Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting
Employment
Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting

What you’ll work on

Full posting
  • Design, develop and maintain geospatial solutions on GIS platforms and spatial databases

  • Automate geospatial data processing and analysis using Python

  • Develop and optimize spatial databases and geospatial data integration workflows

  • Implement cloud-based geospatial processing and analytics in Azure, AWS or Google Cloud

  • Assess technical feasibility, risks and solution options, and advise stakeholders

From the employer’s 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.
Assess technical feasibility, risks, dependencies, and solution options, providing recommendations to stakeholders and project teams.

What you’ll bring

All qualifications

Core experience

  • 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.
Qualification wording
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.
Education & alternatives
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.
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Posting record

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Status in our records
Live
First seen by us
Oct 7, 202629 days ago
Recorded sightings
111
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 29

Similar jobs usually come down between day 5 and day 41.

At Netcompany, jobs usually come down by about day 28.

From 10,965 similar postings that came down, and 43 of Netcompany’s. Coming down is not always a hire.

Netcompany is hiring

12 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring is picking up
  • Takes jobs down quickly
  • 33% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • SQL Server
  • GCP
Where the posting names them
- 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.
- 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.
- 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.
- 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.
- 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.

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Demand for Analyst roles

New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 965, the most 1,388, and the latest week had 1,365.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

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:

  • 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

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!

#LI-SS2

Please upload your CV in English via the Apply button. All applications will be treated as strictly confidential.

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/

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/ 

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Luxembourg, Luxembourg, Luxembourg

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Additional Information 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! #LI-SS2

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