Onsite
We are looking for a Senior Data Engineer to ensure the stable, SLA-compliant, and governance-compliant operation of central data products for device usage data on Azure. The role focuses on production operations, incident handling, reproducible deployments, and the integration of new device generations without compromising stability. You will work hands-on with Databricks, PySpark, Azure DevOps, Unity Catalog, and the Atlassian Suite. This role requires strong operational ownership for reliability, data quality, monitoring, governance, and documentation.
4+ years of hands-on production experience with Databricks, PySpark, SQL, and Azure DevOps or alike technologies.
4+ years of experience operating SLA-driven data pipelines, including incident handling and root cause analysis
4+ years of experience with Unity Catalog, access governance, and data quality controls
4+ years of experience implementing monitoring, alerting, and operational stability measures
Operationally driven: focused on stability, reliability, SLAs, and long-term maintainability
Hands-on ownership: able to resolve incidents, improve pipelines, and drive topics into production
Structured and quality-conscious: values governance, documentation, reproducibility, and controlled change
AI-conscious way of working: uses AI as a tool to improve productivity, quality, documentation, and analysis, while applying critical judgment, validation, and responsibility for the final outcome
If you are aiming for a long-term career and want to join a best-in-class company where your talents are appreciated, then we would love you to join our team!
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