
Senior Data Engineer – PowerBI, Databricks
Posted May 30

Posted May 30
This is a fully remote position, open to applicants in Malta.
• Design, develop, and maintain datasets, semantic models, and reports in Power BI for global claims reporting.
• Implement data modeling best practices, including star schema, claim-centric fact tables, and conformed dimensions.
• Create complex DAX measures to track claims KPIs such as incurred, paid, reserves, ultimates, and movements.
• Enhance report performance by optimizing model size, DAX efficiency, and implementing incremental refresh.
• Ensure the consistency of KPIs and definitions through a centralized data model.
• Utilize Azure Databricks (Delta Lake) as the main reporting data source.
• Assist in the design and implementation of curated data layers, such as silver and gold.
• Develop and support SQL/Spark-based transformations that meet reporting requirements.
• Ensure data quality, reconciliation, and traceability from source systems to reporting outputs.
• Collaborate with data product teams while adhering to platform standards and governance.
• Convert business reporting needs into scalable technical solutions.
• Participate in agile delivery processes, including backlog refinement, sprint execution, and documentation.
• Foster knowledge sharing and promote best practices within the team.
• Strong hands-on experience with Power BI, focusing on data modeling, DAX, and performance optimization.
• Demonstrated experience in creating enterprise-grade dashboards and semantic models.
• Practical knowledge of Azure Databricks, including PySpark and/or Spark SQL.
• Comprehensive understanding of Delta Lake and medallion architecture.
• Solid foundation in data warehousing and BI architecture principles.
• Experience dealing with large, complex datasets in a reporting context.
• Capability to work independently in a multi-stakeholder, international environment.
• Flexible work arrangements
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