Senior Data Engineer – PowerBI, Databricks
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Job Description
Senior Data Engineer focusing on Power BI and Azure Databricks for a global reinsurance client. Building centralized reporting platform and contributing to claims data transformation.
Responsibilities:
- Design, develop, and maintain Power BI datasets, semantic models, and reports for global claims reporting
- Implement best-practice data modelling (star schema, claim-centric fact tables, conformed dimensions)
- Develop complex DAX measures for claims KPIs (e.g. incurred, paid, reserves, ultimates, movements)
- Optimise report performance (model size, DAX efficiency, incremental refresh)
- Ensure consistency of KPIs and definitions through a centralized data model
- Work with Azure Databricks (Delta Lake) as the primary reporting data source
- Contribute to the design and implementation of curated data layers (e.g. silver/gold)
- Develop and maintain SQL / Spark-based transformations aligned with reporting requirements
- Support data quality, reconciliation, and traceability from source systems to reporting outputs
- Collaborate with data product teams and follow platform standards and governance
- Translate business reporting requirements into scalable technical solutions
- Contribute to agile delivery (backlog refinement, sprint execution, documentation)
- Promote knowledge sharing and best practices within the team
Requirements:
- Strong hands-on experience with Power BI (data modelling, DAX, performance optimisation)
- Proven experience building enterprise-grade dashboards and semantic models
- Practical experience with Azure Databricks (PySpark and/or Spark SQL)
- Solid understanding of Delta Lake and medallion architecture
- Strong grounding in data warehousing and BI architecture principles
- Experience working with large, complex datasets in a reporting environment
- Ability to work independently in a multi-stakeholder, international setting
Benefits:
- Flexible work arrangements
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