Data Engineer - Satellite Communications job opportunity at ICEYE.

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Date2026-02-11T16:28:09.830Z bot
ICEYE Data Engineer - Satellite Communications
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Pattern: Full-time
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degreeHigh School (S.S.C.E)
loacation Helsinki, Finland
loacation Helsinki....Finland

Job Title: Data Engineer - Satellite communications Location: Espoo, Finland (Hybrid, 3 days a week onsite) Team: Fleet Control & Satellite Communications Type: Full-Time, Permanent *Employment is subject to applicable security screening (including SUPO) Who are we? ICEYE is the global leader in synthetic aperture radar (SAR) satellite operations for Earth Observation, persistent monitoring, and natural catastrophe solutions; owning and operating the world's largest SAR constellation. ICEYE is headquartered in Finland and operates from five international locations with more than 800 employees from nearly 60 countries, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation. Our satellites acquire images of Earth at any time – even when it’s cloudy or dark – providing commercial and government partners with unmatched persistent monitoring capabilities. Information derived from our SAR images helps customers make data-driven decisions to address time-critical challenges in various sectors, such as maritime, disaster management, insurance, and finance. Our team is a tight-knit group of experts across many disciplines (e.g., engineering, software development, radar technology, etc.). We’re innovative, driven people who strive for excellence in everything we do. Teamwork, curiosity, and having fun are core values at ICEYE, and contribute to Making the Impossible possible! Why should you work for us? ICEYE is at the cutting edge of new technology and we are continuing to build and operate our commercial constellation of SAR satellites. Working with ICEYE, you will be part of making the impossible possible, whilst shaping the Earth Observation industry. You will work with varied, diverse and engaged colleagues to further the ICEYE mission. At ICEYE we realise that without great people we can not succeed, therefore you will be an integral, valued and appreciated colleague, with the ability to directly shape the vision and direction of the business. We actively support Continuous Professional Development, and will provide access to a range of avenues to allow you to succeed, including courses, training and attendance at conferences. ICEYE is a place where your development, your growth and your success is a priority. Data Engineer - Satellite Communications Turn live satellite operations data into mission-critical insight, owning the full journey from raw signals in space to decisions that power ICEYE’s constellation and customers worldwide. We are seeking a highly motivated Data Engineer to join our team responsible for orchestrating our satellite fleet and maintaining communications with the satellites. We operate at the core of ICEYE and its customers’ constellations. With our software, we plan what the individual satellite does at any given time. This includes communications activities with the ground. To deliver the SAR image to the end-user, all of this needs to work in concert. We have tens of literal moving parts in the system and observing the behavior of the system is key to success. In this role you will be building the tools we need to collect, analyse and react to operational data in the system. This includes collecting and processing metrics, building analysis tools, conveying the outcomes to our suppliers and customers through APIs. This isn't a typical data engineering role. You'll own the complete journey from raw data to actionable insights to compelling narrative. Success means becoming knowledgeable in satellite operations, understanding what metrics mean, not just how to move them. You'll proactively identify insights operations teams didn't know they needed, build systems to surface and present them in a clear and articulated way to drive decisions. This requires working independently while reaching across teams to understand context and validate assumptions. We need someone who asks "why is this behaving this way?" and "what are we missing?", not someone waiting for requirements and just delivery “data”. The successful candidate will possess hands-on experience in designing, implementing, and operating data analytics systems with various tools. In this role software engineering skills are needed to implement the business logic and feedback mechanism to deliver the data. Success is measured by outcomes, and we value individuals who are focused and driven to achieve those outcomes. Our technology stack comprises Python and Go, running on both AWS cloud and on-premise Kubernetes infrastructure. We utilize Postgres and MongoDB as our data stores. Data pipeline is built on Fivetran and Databricks. Required Attitude & Traits Relentless domain curiosity: Demonstrated drive to deeply understand complex technical systems—not satisfied with moving data, you need to know what it means, why it behaves that way, and what's missing End-to-end accountability: Proven track record owning complete data flow from data selection → pipelines → insights → visualization → recommendations, not just technical infrastructure Proactive collaboration: Works independently but reaches across teams to understand needs before being asked Narrative skills: Translates technical data into clear business stories (provide examples) Bias for shipping: Delivers working solutions quickly, iterates based on feedback Required Technical Qualifications B.Sc or M.Sc in Computer Science, Engineering or similar field Hands-on experience designing, implementing, and operating data analytics systems Strong software engineering skills to implement business logic, build data-driven feedback loops, and deliver data reliably Proficiency in Python and/or Go, which form our core technology stack Experience with relational or NoSQL databases, particularly Postgres and/or MongoDB Experience building or maintaining data pipelines, including ingestion, processing, transformation, and analysis workflows Ability to build systems for collecting, processing, analyzing, and reacting to operational data What will be an advantage Experience with Fivetran or similar ETL/ELT tools Experience with Databricks or similar data platforms Background in observability systems, metrics pipelines, or operational monitoring tooling Experience working with AWS cloud environments and/or on-premise Kubernetes deployments Familiarity with satellite operations, fleet orchestration, or other complex physical-system data domains (not required, but becomes key over time as the role grows)

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