Senior Data Engineer

Role highlights:

• Senior Data Engineer
• Espoo, Finland
• Permanent
• Hybrid

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 600 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. 

What is the role? 

To support the growth of the company, we are seeking a Senior Data Engineer to support our ICEYE Analytics in the Helsinki area, Finland. ICEYE Analytics is focused on building cutting-edge solutions that leverage remote sensing technology to provide near-real-time insights into the impact of global natural disasters and geophysical changes. These solutions enable end users to make informed decisions for event characterization, assessment, and response during critical times.

As a Senior Data Engineer, you will help the Data Engineering and Product teams to build highly scalable and resilient solutions and provide easy-to-use workflow and orchestration capabilities for our analytics users so that they can focus on their strengths. You will build scalable services and tools to help partners implement, deploy and analyze data assets with a high level of autonomy and limited friction. You will help ensure ML-powered products are scalable and robustly executed in a cloud-based environment against large geospatial datasets. You want to build best-in-class solutions using robust coding practices and the latest tech to excel analytics at ICEYE.

Responsibilities

• Design and develop highly scalable and resilient services and data pipelines for data ingestion, processing, and serving using modern technologies.
• Help to design, build and maintain infrastructure and tooling to enable the development and deployment of machine learning models at ICEYE.
• Improve the data quality and reliability of the pipelines through proper monitoring and failure detection.
• Drive process discovery and resolution of technical blockers; generate ideas and identify /solve problems.
• Comfortably collaborate with cross-functional partners and lead technical initiatives end to end.
• Produce simple, high-quality clean code using frameworks, services, and reusable assets where possible and help analysts and scientists in Analytics to write better code through coaching and mentoring.

What will you need to be successful in this role?

• You have at least 5 years of software/data engineering professional experience, including contributions to making infrastructure decisions.
• You are skilled at crafting and building robust distributed microservices with tools like Docker, Kubernetes, AWS ECS/EKS etc.
• You are proficient in object-oriented and/or functional programming languages, Python being our main language
• You are an expert in building internal tools and automation and can develop API services to support internal operations.
• You are an expert in SQL and have a good understanding of relational databases.
• You are proficient in infrastructure-as-code (Terraform or similar.).
• You have experience working with ML engineers and data scientists to build tooling and automation to support the entire ML engineering lifecycle, from experimentation to production operations. Experience with KubeFlow, AWS Sagemaker, and Airflow would be great. We use Argo Workflows, and Valohai for our workflows, so knowledge of those would help you a lot.
• You are able to effectively collaborate with cross-functional partners and explain sophisticated technical concepts to non-technical stakeholders.
• You are comfortable finding your own way and living well in the continuous stream of change that is inevitable in a start-up that is beginning to scale.
• You put Agile values into practice every day.
• You have a strong dedication to code quality, automation, and operational excellence: CI/CD pipelines and unit/integration tests.

In addition to the above, it would be beneficial if you had the below attributes and skills:

• We work with large amounts of geospatial data, so having experience with those is a plus.