data
Posted Feb 23Senior Data Engineer
at IQM
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
Requirements
- 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
Experience
- 5 plus years of hands on
Contact
- IQM has over 300 employees with offices in Finland, Germany, France, Spain, Poland, Singapore and the US. ( www.meetiqm.com )
Additional details
- 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 •