Senior Geospatial Data & GIS Scientist (freelance)

Posted Yesterday
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Hiring Remotely in Luxembourg, LUX
In-Office or Remote
Senior level
Information Technology • Consulting
The Role
Designs and maintains geospatial solutions, spatial databases, and cloud-based GIS platforms. Processes, analyzes, transforms, and automates geospatial data using Python and spatial analytics tools. Integrates geospatial information into data lake and enterprise analytics architectures while ensuring data quality, governance, metadata compliance, interoperability, and reproducibility. Assesses technical options and risks, collaborates with multidisciplinary teams, and communicates recommendations to technical and non-technical stakeholders.
Summary Generated by Built In
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:

  • 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/

Skills Required

  • 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, or GDAL/OGR
  • Strong Python programming skills for geospatial processing
  • Experience with geospatial Python libraries such as GeoPandas, Rasterio, Shapely, Fiona, PyProj, or Xarray
  • Experience with SQL and spatial SQL
  • Experience with spatial database technologies such as PostGIS or SQL Server Spatial
  • Hands-on experience with cloud-based geospatial processing and analytics in Azure, AWS, or Google Cloud
  • Knowledge of data lake and lakehouse architectures
  • Knowledge of geospatial data integration, metadata standards including ISO 19115, DCAT/DCAT-AP, and Dublin Core, and interoperability principles
  • Strong analytical and problem-solving skills
  • 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
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The Company
HQ: Copenhagen
6,701 Employees
Year Founded: 2000

What We Do

Netcompany is the fastest growing and most successful IT service company in Northern Europe. Today, we lead the way with digitalisation in Northern Europe, building modern IT solutions and introducing advanced use of technology for large global customer, side by side in agile teams. Netcompany leads the way in the next generation of IT consulting, with keen focus on Customer Value, Speed and Guaranteed delivery. We build IT solutions through agile delivery methods with speed to market. Our solutions are based on modern legacy free technology and industry standards. We build scalable robust solutions that will adapt to changing business needs, fully anchored in the organization. We know what it takes to build, operate and maintain IT solutions across all sectors and industries. We constantly challenge and innovate, and ensure that Development and Operations resources work together to ensure stability with speed. Netcompany’s vision is to be the leading digital Challenger in Northern Europe. We help Northern European businesses become future digital winners. The clients of Netcompany are large companies from a diverse array of industries and the public sector. Current and recent clients include: Danish Customs and Tax Administration (SKAT), ATP, Carlsberg, Royal Danish Ministry of Foreign Affairs, Ørsted, Airbus, Ministry of Justice (UK), Sodexo, Oslo Local Authority and Post Nord to name a few. We are headquartered in Copenhagen and besides the offices in Denmark, we are located in UK, Netherlands, Poland, Norway and Vietnam, with an employee count of more than 6500+. Privacy policy: https://www.netcompany.com/int/Privacy-Policy

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