EIT Climate-KIC is the EU’s climate innovation initiative, working to accelerate the transition to a zero-carbon world.
Geospatial Data Architect – Earth Observation, Climate Services
Location
Netherlands
Posted
5 days ago
Salary
0
Seniority
Senior
Job Description
Geospatial Data Architect – Earth Observation, Climate Services
Climate-KIC
• Advise and guide the AI-ready data architecture and geospatial AI service definition for institutional clients, who will be doing the data-space-development in-house. • Guide and execute needs and gap assessment among all the relevant stakeholders, providers and users on data needs. • Design and define the overall system architecture and technology approach based on client requirements and constraints, including the harmonisation of heterogeneous data. • Create detailed technical specifications for external partners that clearly define what to build and quality standards. • Review partner deliverables to ensure they meet specifications and align with project goals. • Identify technical risks early and make trade-off recommendations between scope, budget and timeline. • Support the development of guidelines for data governance and the ethical use of AI services, and where appropriate conduct capacity development activities for the successful uptake of services. • Support the delivery of existing projects by writing deliverables, executing tasks, participating in project meetings both online and in-person, including proposing and creating content and managing your own workload. • Represent the team and the organisation in online and in-person meetings. • Support the team’s business development through, e.g. proposal writing. • Support the identification, definition and development of new services and products.
Job Requirements
- More than five years of experience working with data and geospatial analysis, ideally in climate, environmental, or sustainability-focused projects.
- Experience in designing technical solutions for government or institutional clients and understanding their constraints and decision-making processes.
- Experience managing external teams or contractors and coordinating complex technical work.
- Deep understanding of data architecture.
- Practical geospatial data engineering experience across the full stack: working with satellite imagery and geospatial data formats (GeoTIFF, COG, NetCDF), spatial databases like PostGIS, building data pipelines, and deploying solutions with cloud platforms (AWS/Azure, Docker).
- Experience with APIs (REST, OGC standards) and version control/CI-CD practices is valuable.
- Strong background in data science and GIS, with hands-on experience managing, analysing, and visualising spatial data (ArcGIS or QGIS).
- Skilled in Python, translating complex datasets into insights that support climate action and systems innovation.
- Experience designing and managing data workflows and pipelines, from service definition to delivery.
- Good understanding of Earth Observation (EO) data—its sources, formats, and applications—and the ability to assess technical input in light of climate resilience needs.
- Confident communicator who can lead collaborative projects, work across teams, and engage diverse (including non-technical) partners in international and cross-cultural settings.
- Experience documenting workflows and supporting others in the use of GIS, data, and AI tools.
- Comfortable with digital collaboration platforms such as Office365, Teams, SharePoint, Salesforce, Miro, and Canva.
Benefits
- Flexible working arrangements
- Professional development opportunities
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