Senior Geospatial Data & GIS Scientist (freelance)

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:

• Bachelors 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!

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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.

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Employment Type :

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