Leads the design and delivery of complex Salesforce customizations for customer implementations, owning architecture and quality while mentoring engineers and partnering with customers and Product.
Senior Geospatial Data & GIS Scientist (freelance)
π Description
- Design, develop, and maintain geospatial solutions using GIS platforms and open-source technologies.
- Perform geospatial data processing, analysis, and automation using Python and spatial analytics tools.
- Develop and optimize spatial databases and geospatial data integration workflows.
- Implement cloud-based geospatial processing and analytics solutions in Azure, AWS, or Google Cloud.
- Collaborate with multidisciplinary teams and communicate technical concepts to various audiences.
π οΈ Requirements
- Bachelor's degree in Geography, GIS, Geoinformatics, Computer Science, Data Science, Engineering, or a related field.
- Proven experience with GIS technologies such as ArcGIS, QGIS, PostGIS, and GeoServer.
- Strong Python programming skills for geospatial processing using libraries like GeoPandas and Rasterio.
- Experience with SQL and spatial SQL, including spatial database technologies like PostGIS.
- Hands-on experience with cloud-based geospatial solutions in Azure, AWS, or Google Cloud.
- Knowledge of data lake/lakehouse architectures and metadata standards.
Full job description
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/Β
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!
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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.
In the following link you may find our CV Submission privacy notice: https://netcompany.com/cv-submission-privacy-notice/
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