Senior Data Engineer
Espoo, Uusimaa, Finland
ICEYE
Gain access to timely and reliable SAR imaging and NatCat Insights from the world's leading New Space SAR satellite constellation.Who are we?
We are a Finnish-based international New Space company with employees from more than 41 countries in Finland, the US, the UK, Spain, Luxembourg, and Poland. Our team is a tight-knit group of experts from areas including engineering, software development, and radar technology. We’re innovative, driven people who strive for excellence in everything we
do. Being advocates of our corporate culture, we value teamwork and curiosity, and we know how to have fun!
What do we do?
ICEYE is building and operating its commercial constellation of small Synthetic Aperture Radar (SAR) satellites with SAR data available to customers. 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.
What are we looking for?
To support the company’s growth, we continue to scale our Analytics team and looking for a Senior Data Engineer to join us in the Helsinki area, Finland. ICEYE Analytics is responsible for building solutions 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.
About 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 scalably 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/data pipelines for data ingestion and processing using modern big data 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.
Qualifications
- 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, Go.
- You are an expert in SQL and have a good understanding of relational databases.
- You have strong dedication to code quality, automation and operational excellence: CI/CD pipelines, unit/integration tests.
- 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, Airflow would be great. We also use Argo 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 put Agile values into practice every day.
- 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 live well in the continuous stream of change that is inevitable in a start-up that is beginning to scale.
What we offer:
- A job that matters in a dynamic New Space environment with a scale-up approach
- An independent role with a supportive and diverse work environment
- Occupational healthcare, occupational and private insurance
- A yearly benefit budget to spend as you wish (i.e. on sport, transport, wellness, lunch, etc.)
- Relocation support (i.e. flight tickets, accommodation, relocation buddy program)
- Time for self-development, research, training, conferences, or certification schemes
- Inspiring and collaborating offices and silent workspaces enabling you to focus
- Regular internal events for employees (e.g. sports events, team-building events, parties, etc.)
- A wide variety of best coffee, tea, snacks, and sweets to accompany your daily space mission
Diversity & inclusion are core values at ICEYE. We are passionate about building and sustaining inclusive and equitable working and learning environments for all staff. We believe every member on our team enriches our diversity by exposing us to a broad range of ways to understand and engage with the world, identify challenges, and discover, design, and deliver solutions.
Could this be the role for you? Apply now to start your journey with ICEYE.
We are making the impossible possible together.
Contact
Olha Pryshlyak
Recruiting@iceye.fi
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow AWS Big Data CI/CD Data pipelines Docker ECS Engineering Excel Finance Kubernetes Machine Learning Microservices ML models Pipelines Python Radar RDBMS Research SageMaker SQL Terraform
Perks/benefits: Career development Conferences Relocation support Startup environment Team events Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Data Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs