Senior Software Engineer Python, Azure & DevOps

About the role<br><br>We are looking for a Senior Software Engineer with strong hands-on experience in Python, Azure, CI/CD and modern engineering practices.<br><br>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.<br><br>This is a hands-on engineering role. We are not looking for a pure platform administrator, architect or research-focused ML engineer.<br><br>Preferred location: Sweden<br><br>Requirement: EU citizenship<br><br> <br><br>Responsibilities<br><br>- Develop Python-based automation, tooling and engineering workflows.<br><br>- Build and maintain GitHub Actions, GitHub Workflows and reusable CI/CD pipelines.<br><br>- Support Azure-based data platforms, including Databricks and related technologies.<br><br>- Improve software quality, traceability and engineering processes.<br><br>- Collaborate with engineering and platform teams to deliver scalable technical solutions.<br><br> <br><br>Must-have<br><br>- Strong Python skills for production-oriented automation and tooling.<br><br>- Practical hands-on experience with Azure Databricks (approximately SFIA Level 3 or equivalent), ideally including development of notebooks, pipelines/jobs or Spark-based solutions.<br><br>- Experience with Azure data-platform technologies such as Spark, Kafka, Hadoop, schema enforcement, data quality validation or Power BI.<br><br>- Hands-on experience with GitHub Actions, GitHub Workflows and reusable workflow design.<br><br>- Solid Docker experience.<br><br>- Experience working with CI/CD in Windows and Linux environments.<br><br>- Ability to work independently while collaborating across teams.<br><br>- EU citizenship.<br><br> <br><br>Meritorious<br><br>- Data governance and data modelling.<br><br>- Machine Learning model deployment.<br><br>- GitHub CLI (gh), REST APIs or GraphQL APIs.<br><br>- JFrog Artifactory or similar.<br><br>- Bash and/or PowerShell.<br><br>- Git LFS.<br><br>- GitHub Enterprise Server and self-hosted runners.<br><br>- AI-powered developer tools or agentic engineering workflows.