Senior Data Engineer

ICEYE

Espoo, Finland

What are we looking for

ICEYE Analytics is responsible for building Solutions products that enable near-real-time assessment of the impact of global natural catastrophes and geophysical change using remote sensing technology. These solutions empower end users to quantitatively make timely actions for event characterization, assessment, and response during stressful and uncertain times.

The role

As a Senior Data Engineer, you will help the Data Engineering team to build a highly scalable and resilient data platform 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 crossfunctional 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.

Requirements

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 SQL and have a good understanding of relational databases.
You are proficient in infrastructure-as-code (Terraform).
You have experience working with ML engineers 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, AWS Batch, and Valohai for our workflows, so knowledge of those would help you a lot.
We work with huge amounts of geospatial data, so having experience with those is a huge plus.
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.

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