Arbetsbeskrivning

About the role

We are looking for a Senior Software Engineer with strong hands-on experience in Python, Azure, CI/CD and modern engineering practices.

You will improve developer productivity by building internal tooling, reusable automation and scalable CI/CD solutions while supporting Azure-based data platforms. The role combines software engineering, DevOps and data-platform enablement in a cross-functional environment.

This is a hands-on engineering role. We are not looking for a pure platform administrator, architect or research-focused ML engineer.

Preferred location: Sweden

Requirement: EU citizenship

Responsibilities

- Develop Python-based automation, tooling and engineering workflows.

- Build and maintain GitHub Actions, GitHub Workflows and reusable CI/CD pipelines.

- Support Azure-based data platforms, including Databricks and related technologies.

- Improve software quality, traceability and engineering processes.

- Collaborate with engineering and platform teams to deliver scalable technical solutions.

Must-have

- Strong Python skills for production-oriented automation and tooling.

- Practical hands-on experience with Azure Databricks (approximately SFIA Level 3 or equivalent), ideally including development of notebooks, pipelines/jobs or Spark-based solutions.

- Experience with Azure data-platform technologies such as Spark, Kafka, Hadoop, schema enforcement, data quality validation or Power BI.

- Hands-on experience with GitHub Actions, GitHub Workflows and reusable workflow design.

- Solid Docker experience.

- Experience working with CI/CD in Windows and Linux environments.

- Ability to work independently while collaborating across teams.

- EU citizenship.

Meritorious

- Data governance and data modelling.

- Machine Learning model deployment.

- GitHub CLI (gh), REST APIs or GraphQL APIs.

- JFrog Artifactory or similar.

- Bash and/or PowerShell.

- Git LFS.

- GitHub Enterprise Server and self-hosted runners.

- AI-powered developer tools or agentic engineering workflows.