About the Role
We are looking for an experienced Senior Data Engineer with a strong background in DevOps to join an exciting data platform initiative. The ideal candidate will have hands-on experience in building modern CI/CD pipelines, managing containerized environments, and supporting scalable data engineering solutions.
This is an excellent opportunity to work on modern cloud-based technologies in a collaborative and technically challenging environment.
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for applications and data platforms.
- Deploy, configure, and manage Kubernetes environments.
- Build, version, and maintain Docker container images.
- Support and optimize data engineering platforms and analytical workflows.
- Manage Git-based development processes, including pull requests, code validation, and release management.
- Automate deployments across multiple environments such as Test, Acceptance, and Production.
- Develop and maintain data-related solutions using Python and SQL.
- Collaborate with cross-functional teams to improve platform reliability and delivery processes.
Required Skills
- Strong experience with CI/CD pipeline development and automation.
- Hands-on expertise with Kubernetes administration and deployments.
- Solid experience with Docker and container management.
- Experience working with data platforms, data pipelines, or analytics environments.
- Proficiency with Git and modern version control workflows.
- Experience managing deployments across multiple environments.
- Working knowledge of Python and SQL.
- Fluent communication skills in Swedish, both written and spoken.
- Willingness and eligibility to undergo a security clearance process.
Preferred Skills
- Azure DevOps
- Apache Airflow
- dbt
- Experience with Python- or SQL-based data pipelines
- Previous experience within regulated, financial, or public-sector environments
Assignment Details
- Location: Stockholm, Sweden (Hybrid)
- Contract Duration: Approximately 5 months
- Start Date: August 2026
- Workload: Up to 600 hours
Lön: 600,00kr - 650,00kr per timme
Arbetsort: Delvis på distans i Stockholm (Stockholms kommun, Stockholms Län)
