SkillHuset Sweden AB
Senior Software Engineer Python, Azure & DevOps
Self-Reported
📍🇸🇪 LUND, Sweden📅9h ago
pythonazuredockerci/cdgithub actionsgraphqlrestkafkamachine learningmlaisparkdatabricks
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Job Description
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.