ICEYE

Senior Geospatial Software Engineer

In short

Senior Geospatial Software Engineer building and operating the geospatial data platform behind ICEYE's analytics products, ingesting elevation, hydrology, building, and satellite imagery data and serving it through REST/STAC APIs. Requires 5+ years of production Python, strong PostgreSQL/PostGIS skills, experience with orchestration frameworks (Dagster, Airflow, or Prefect) and large-scale raster/vector processing. Based in Espoo, Finland, with hybrid working and relocation to Finland required; subject to security screening (incl. SUPO).

Senior Geospatial Software Engineer
ROLE HIGHLIGHTS:
* Senior Geospatial Software Engineer
* Location: Espoo, Finland. Relocation to Finland required
* Department: Product Engineering, Solutions
* Reports to: Solutions Data Platform Team Lead
* Employment type: Permanent
* Workplace model: Hybrid
* Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
As a Senior Geospatial Software Engineer, you'll help build and run the geospatial data platform behind our analytics products. The platform ingests elevation, hydrology, building, and satellite imagery data from public and commercial providers and serves it through APIs used across the company, so the pipelines and APIs you build directly shape what other teams can rely on.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
* Pipeline Development: Build and maintain production pipelines that collect data from external providers, process it, and load it into our spatial databases, using established ingest patterns and adding new sources.
* Pipeline Operations: Own pipelines in production, respond to failures, and adapt ingestion when upstream providers change their schemas, formats, or access rules.
* Data Delivery: Develop and operate the REST and STAC APIs that serve this data to internal and external consumers, with stable contracts and predictable performance.
* Geospatial Processing: Process large raster and vector datasets at scale, covering reprojection, mosaicking, tiling, format conversion, and quality validation.
* Engineering Quality: Improve automated testing, CI/CD, and data quality monitoring so that releases stay safe and repeatable.
* Stakeholder Partnership: Work directly with stakeholders to agree on requirements, explain data coverage, quality, and limitations, and write the specifications and decision records that support them.
WHAT WE'RE LOOKING FOR
Must haves:
* 5+ years of Python in production, with deep knowledge of spatial indexing, coordinate reference systems, vertical datums, and large-scale raster/vector processing trade-offs.
* Strong PostgreSQL/PostGIS skills: schema design, partitioning, query tuning, and safe migrations on large live datasets.
* Experience running production pipelines on an orchestration framework (Dagster, Airflow, or Prefect), designed to fail loudly and recover cleanly.
* Experience building and operating HTTP services in Python with a modern async framework and ORM, with stable, versioned contracts.
* Confidence extending complex Python codebases with testable, production-grade code.
* Comfort with containers, CI/CD, cloud storage/messaging, and Kubernetes.
* Expert, pragmatic use of AI-assisted tools (Cursor, Claude, Copilot) to speed up routine engineering.

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