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Senior Geospatial Analytics Engineer

External
ICEYE logoIceye · Espoo
Full-timeRemote2mo ago
ForecastingLeadershipLLMsMachine LearningPythonRisk Management
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About the role

Role highlights: Role: Senior Geospatial Analytics Engineer Department: Solutions Location: Finland, Espoo or Valencia, Spain Reports to: Engineering Manager / Team Lead Employment type: Permanent / Full-time Working type: Hybrid Employment is subject to applicable security screening (incl. SUPO) The mission of the role ICEYE's Flood Solutions exist to help people make better decisions when floods happen. We strive to provide the most accurate information before, during and after the flood events. You will be driving the analytics development within ICEYE Flood Solutions, ensuring we consistently turn multisource flood observations into one consistent flood extent and depth output that customers can trust in real conditions, including cloud cover, darkness, and other visibility-limiting environments. The outcomes are customer deliverables that supports the full flood response lifecycle, for example: Early warning for flood prone areas Rapid situation awareness, so responders understand what is happening and where Search and rescue support, by highlighting areas likely to be impacted Damage assessment and claims workflows, by quantifying where flooding occurred and how severe it was Communication to affected residents or policyholders, with clear, explainable outputs Resource allocation, so response efforts go where they matter most Flood risk management, by improving the evidence base for future mitigation ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather. Designed for dual use, the platform serves defense, intelligence, and security users, and also civil protection and commercial users for natural catastrophe intelligence, insurance, maritime monitoring, and finance. ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, and the US. The company has more than 900 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation.

Requirements

  • If you like turning messy real-world signals into something decision-makers can act on, you will like this role.
  • Floods are complex. Inputs are uncertain, terrain data quality varies, and customers still need answers under time pressure. The work is to turn multi-source observations into outputs that are accurate enough for decision-making, with clear confidence and known limitations.
  • This role is for someone who wants real ownership. You will shape the product's analytical direction and ship improvements into production, not just prototypes.
  • You will have a leading role in the analytical content of the Flood Solutions roadmap in partnership with Product Management and the team's technical leadership.
  • You are accountable for:
  • analytical correctness and validation
  • clear and repeatable acceptance criteria for good enough
  • production readiness and output consistency
  • improving supportability and reducing recurring operational friction
  • Expertise in hydrology, geosciences, geography, or a related geospatial field, with proven ability to analyze and understand complex, real-world spatiotemporal systems.
  • Senior-level experience delivering production-grade systems (typically 7+ years or equivalent)
  • Strong Python skills, and experience making analytics production-grade (tests, reproducibility, performance, failure handling)
  • Practical geospatial competence: you possess sufficient remote sensing (SAR, optical) and geoinformatics knowledge, you know your way around rasters and vectors formats, CRS concepts, and you know how to ship geospatial deliverables (GeoTIFF, GeoPackage/GeoJSON/GeoParquet) with clear metadata
  • Experience owning quality criteria and validation for analytics-heavy products, including uncertainty and confidence communication
  • Product thinking: you can connect user needs and operational constraints to analytical choices and acceptance criteria
  • Operational mindset: you design for resilience, 'debuggability', and supportability, and you improve systems based on incidents and real use
  • Office collaboration: you welcome working 3 days per week in the Espoo office and you thrive in direct collaboration
  • Flood modelling, flood forecasting or other natural catastrophe analytics experience
  • Geospatial Machine Learning experience
  • AI leverage with judgment: you use tools like Cursor, ChatGPT, or Claude Code to speed up routine work, you know how to provide context and constraints to LLMs, and you verify outputs properly
  • Experience scaling geospatial de

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