Senior Geospatial Analytics Engineer

• 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

You will ensure these outputs are good enough for real decisions. They need to ship reliably under time pressure, be explainable and consistent, and keep improving as coverage and use cases expand.

You will lead the analytics end-to-end: translate customer & user needs into analytical requirements, define assumptions and acceptance criteria, drive validation, and guide the team’s analytical trade-offs.

You will ride the elevator in a practical sense. You can work tactically in the core algorithms and data pipelines, and you can also operate at the product and operational level by shaping requirements, aligning stakeholders, and making clear “good enough” decisions that keep delivery moving.

Who We Are

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

Why this role

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 also work with aligned autonomy. Teams move fast locally, but stay connected through shared customers, shared outcomes, and shared standards across Solutions.

You are likely a good fit if

• You have deep domain knowledge about different types of floods on a global scale. In practice you know what it takes to map a pluvial flood in urban Japan or a coastal flood in Florida accurately. 
• You enjoy going deep on algorithms and data quality, and you also care about what the user actually needs and can act on.
• You have shipped analytics into production and you think in terms of validation, failure modes, and operational reality, not just model quality.
• You can make trade-offs explicit. You know when to improve accuracy and when to ship good enough with clear limitations.
• You like turning recurring pain into better defaults (validati