EnglishWillDo

Senior Software Engineer Python, Azure & DevOps

SkillHuset Sweden AB · Lund, Sweden

No Swedish requiredPosted yesterday
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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.