Senior Data Engineer

Espoo, FinlandOn-site

Responsibilities

Improve, manage, and advise on standards for code maintainability and performance across the data codebase •
Implement and review code for data pipeline design, considering downstream utility and performance (for example Tableau, ML models, and internal stakeholders) •
Create architecture recommendations and implement them hands on •
Build alignment across teams by communicating clearly and helping people reach consensus •
Support hiring by performing technical interviews and contributing to a thoughtful, fair selection process

IQM provides both on-premises full-stack quantum computers and a cloud platform to access its computers anywhere in the world.
experience with Python for data processing preferred; professional
experience in Java/Scala/other is welcome. •
Solid knowledge of data related Python packages and common patterns for reliable data processing •
Deep understanding of SQL and analytical data warehouses, ideally Postgres • Hands on
experience implementing ETL or ELT best practices at scale, including monitoring, testing, and incident handling •
Experience with data pipeline orchestration tools, ideally Dagster •
Confident using Git and modern collaboration practices such as code reviews and pull requests •
Ability to ship medium to large features independently, from design to rollout •
Familiarity with lineage, cataloging, or governance style workflows and ways of working •
Experience with dlt or similar data ingestion and loading frameworks •
Experience developing RESTful APIs and working with service to service integrations •
Familiarity with data lake architectures and patterns

IQM has over 300 employees with offices in Finland, Germany, France, Spain, Poland, Singapore and the US. ( www.meetiqm.com )

IQM is a global leader in designing, building, and selling superconducting quantum computers.
At IQM, we work with sensitive data and strong security requirements.
For that reason, our data services and tooling run on premises.
In this role, you will build and improve production grade data solutions that teams can rely on every day.
You will help us use data more effectively across the company by raising the quality and usability of our pipelines, models, and datasets.
You will also guide engineering best practices in the team, and bring clarity when multiple teams need to align.
Take ownership of initiatives that improve data utilization, data efficiency, and data trust across the company •
Share knowledge and raise the bar for data engineering practices through coaching, reviews, and clear documentation •
experience shipping production quality software or data solutions • Strong
Strong data modeling skills, including designing schemas that are clear, performant, and easy to evolve •