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.
Luxembourg, Luxembourg, Luxembourg
Live, first seen by us 29 days agoWork setup in the employer’s posting: RemoteFrom the employer’s posting
Employment type in the employer’s posting: ContractFrom the employer’s 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
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.
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.
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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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.
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- 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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New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.
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.
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.
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:
What would make you a fit for the role:
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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Luxembourg, Luxembourg, Luxembourg
Working pattern and location restrictions need checking in the full posting.
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