About this role
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.