Data Product & Platform Operations Engineer
HybridMalmö, Skåne, Sweden
Job Summary
Design, build, and operate end-to-end data products on Microsoft Fabric, managing ingestion through Bronze, Silver, and Gold layers to consumption-ready datasets. Develop reusable engineering assets including parameterized pipelines, metadata-driven frameworks, notebook libraries, and standardized delivery patterns. Implement data contracts, metadata standards, ownership models, and governance controls using Microsoft Purview and Fabric-native capabilities. Define and automate data quality checks, validation rules, and certification processes while establishing SLAs, SLOs, and incident management runbooks. Build operational dashboards for platform health, pipeline performance, refresh monitoring, usage analytics, and cost visibility to drive FinOps activities. Support onboarding of domain teams by promoting platform standards and creating technical documentation to reduce operational dependencies.
Required Qualifications
- Strong hands-on experience in Data Engineering using PySpark/Spark, SQL, Python, and pipeline orchestration
- Practical experience with Microsoft Fabric, or strong experience with Azure Databricks or Azure Synapse Analytics with the ability to transition to Fabric
- Experience working with Lakehouse architecture, notebooks, pipelines, and OneLake or equivalent data platform concepts
- Strong understanding of incremental loading strategies, CDC, and event-driven data ingestion
- Experience building reusable frameworks, templates, and scalable data products rather than one-off implementations
- Hands-on experience implementing data governance, including metadata management, cataloging, lineage, documentation, and operational controls
- Experience with monitoring, platform operations, troubleshooting, and operational reporting
- Strong scripting and automation capabilities
- Experience collaborating with engineering teams, governance stakeholders, and business users
- Minimum 5 years of relevant experience in Data Engineering, including exposure to platform operations or data governance
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