IQM is a global leader in designing, building, and selling superconducting quantum computers. IQM provides both on-premises full-stack quantum computers and a cloud platform to access its computers anywhere in the world. IQM customers include the leading high-performance computing centres, research labs, universities and enterprises which have full access to IQM’s software and hardware. IQM has over 280 employees with offices in Finland, Germany, France, Spain, Poland, Singapore and the US.
(www.meetiqm.com)
We are looking for an experienced Software Engineer to join the Data & Analytics team of IQM in Espoo, Finland. In this role, the Software Engineer will contribute to the development and maintenance of the data and analytics infrastructure, working closely with technical and business teams to design and implement data pipelines, develop APIs, and ensure the accuracy, reliability, and accessibility of data. This work will enable data-driven decision-making, support strategic initiatives, and enhance the scalability and efficiency of systems.

WHAT SKILLS DO I NEED?

6+ years of professional experience in software engineering or a related field.
Relevant educational background in Software Engineering, Data Engineering, Mathematics, or a related field.
Strong Python programming skills with solid software engineering principles.
Proficiency in writing efficient SQL queries and working with relational databases (Postgres).
Experience with data-intensive applications or a strong interest in this domain.
Knowledge of infrastructure as code, collaborative development workflows, and CI/CD tools.

NICE TO HAVE SKILLS:

Familiarity with data processing frameworks (e.g., Polars, Pandas, Spark) and workflow orchestration tools (e.g., Dagster, Airflow).
Experience designing, developing, and maintaining APIs (e.g., FastAPI, Flask).
Knowledge of object storage systems or data lakes.
Understanding of containerization concepts and best practices.
Experience with AI implementations and/or Retrieval-Augmented Generation (RAG) systems.
Proficiency with monitoring and performance tools (e.g., Prometheus, Grafana).

Software Engineering roles