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Engineering Team Lead (Geospatial Analytics)

Espoo · Espoo, Uusimaa, Finland

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Hybrid — work setting source
Location type: Hybrid
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Employment
Permanent · Full-time — employment source
Reports to: Engineering Manager, Geospatial Product Engineering Employment type: Permanent Workplace model: Hybrid
Employment type: Full-time
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Team
Solutions › Product Engineering — team source
Department: Solutions › Product Engineering
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Education & alternatives
Must haves: - Master’s or PhD in Remote Sensing, Machine Learning, Data Science, Electrical Engineering, Geoscience, Physics, Computer Science or a related field, or equivalent experience. - Experience in hands-on leadership as a line manager or tech lead, with a track record of delivery and examples of people who grew under your leadership.

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  • Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.

From the employer’s posting.

About ICEYE

To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night.

In the employer’s words · Read in context · Company website ↗

Apply at ICEYE

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

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Oct 30, 2026

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ICEYE is hiring

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Where the posting names them
- A solid grasp of SAR principles, including how backscatter responds to structural change in built environments, and applied experience in change detection using amplitude, coherence or interferometric (InSAR) methods. - Strong Python skills and experience applying modern engineering practice (Git, code review, testing, CI, documentation), deployed with Docker on AWS. Ability to lead cross-functional teams. Nice to haves:

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,408, the most 2,964, and the latest week had 2,139.
August 17Last week

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Role highlights:

  • Engineering Team Lead (Geospatial Analytics)

  • Location: Espoo, Finland. Relocation to Finland required

  • Department: Product Engineering, Solutions

  • Reports to: Engineering Manager, Geospatial Product Engineering

  • Employment type: Permanent

  • Workplace model: Hybrid

  • Employment is subject to applicable security screening (incl. SUPO, where required)

Why this role matters:

 

As Engineering Team Lead (Geospatial Analytics), you'll own a product engineering team that turns remote sensing and auxiliary data into fast, reliable insight when natural catastrophes happen. The team currently supports our Wind, Earthquake and Landslide products and brings together analytics (SAR, Machine learning / Data Science) and software engineers.

You will work in tandem with the Product Manager to decide what to build and why, and closely with Operations to make sure the products perform during live events.Your decisions shape how several products work, so you'll own the product’s engineering domain end to end: analytics that serve several products at once, built to the level the problem needs and no further. You will be hands-on, which keeps your technical judgement credible and your feedback specific.

 
 

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

 
  • Lead and own the product engineering team: hiring, growth, performance and wellbeing of the team members

  • Own the team's technical direction across analytics and engineering, taking work from research prototype to production systems that run reliably against customer commitments.

  • Work in tandem with the Product Manager on roadmap and priorities, turning customer needs into analytics capability.

  • Design shared change detection analytics that serve multiple products in the team’s portfolio

  • Collaborate closely with Operations on event response, so that delivery workflows, latency and quality hold up when it matters.

  • Contribute directly to analytical development (SAR, geospatial data science / ML), validation and code.

  • Set and maintain scientific and engineering standards across the team, including review practice, validation rigour, testing and documentation.

  • Stakeholder management - including Product Engineering leadership and different product stakeholders

 

What we’re looking for

Must haves:

  • Master’s or PhD in Remote Sensing, Machine Learning, Data Science, Electrical Engineering, Geoscience, Physics, Computer Science or a related field, or equivalent experience.

  • Experience in hands-on leadership as a line manager or tech lead, with a track record of delivery and examples of people who grew under your leadership.

  • Experience working closely with product and operations teams in a flow-based, outcome-focused way, including giving direct feedback constructively and explaining technical trade-offs to non-technical stakeholders.

  • A record of taking analytics from prototype to reliable production against latency, accuracy and uptime targets, with sound judgement on when a solution is good enough.

  • Experience building, validating and deploying ML models or analytical pipelines based on SAR or other remote sensing imagery for tasks such as damage assessment, change detection or object detection. This includes working with noisy or sparse labels, validating against ground truth such as field surveys or claims data, and monitoring model performance in production.

  • A solid grasp of SAR principles, including how backscatter responds to structural change in built environments, and applied experience in change detection using amplitude, coherence or interferometric (InSAR) methods.

  • Strong Python skills and experience applying modern engineering practice (Git, code review, testing, CI, documentation), deployed with Docker on AWS. Ability to lead cross-functional teams.

 

Nice to haves:

  • Experience fusing remote sensing imagery with auxiliary data, such as weather, terrain models or building attributes, to improve model performance.

  • Experience using geospatial foundation models and embeddings (e.g. AlphaEarth Foundations) for tasks such as classification, similarity search or change detection.

  • Experience with natural hazards, disaster response, insurance or emergency management use cases.

  • Hands-on use of AI-assisted development tools in your daily engineering work.

  • A publication or patent record, or other evidence of sustained technical contribution.

 

Application Process

  • TA Interview

  • Hiring Manager Interview

  • Take Home Task

  • Panel Interview

  • Department Lead Interview

  • Final Interview with SVP of Solutions

Working at ICEYE

At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.


How We Work (Our Values)

Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.

  • Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.

  • See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.

  • Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.

  • Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.

  • Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.

Benefits

Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.

 

Our Commitment to Diversity, Equity, and Inclusion

We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.

We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.

Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com.

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Pay

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Location & working pattern

Espoo, Uusimaa, Finland

- Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required)
More source context
Why this role matters: As Engineering Team Lead (Geospatial Analytics), you'll own a product engineering team that turns remote sensing and auxiliary data into fast, reliable insight when natural catastrophes happen. The team currently supports our Wind, Earthquake and Landslide products and brings together analytics (SAR, Machine learning / Data Science) and software engineers. You will work in tandem with the Product Manager to decide what to build and why, and closely with Operations to make sure the products perform during live events.Your decisions shape how several products work, so you'll own the product’s engineering domain end to end: analytics that serve several products at once, built to the level the problem needs and no further. You will be hands-on, which keeps your technical judgement credible and your feedback specific.

More relevant text appears in the full description.

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