Senior Data Engineer

As a Senior Data Engineer, you will design and maintain Silver and Gold data transformations in the Azure Databricks lakehouse to support trusted data products for underwriters, actuaries, and BI users. You’ll ensure performant data models aligned with Munich Re standards and tackle data quality issues across the intake pipeline. You’ll partner with IT and business teams to deliver robust data products and dashboards that enable insight-driven decisions. This role offers impactful work on complex data platforms within a collaborative insurance tech environment.

• Design, build, and maintain Silver and Gold table transformations in the Azure Databricks lakehouse following medallion principles
• Contribute to data modelling discussions for Silver and Gold layers with IT to ensure performance and standard alignment
• Investigate and resolve data quality issues from the data intake platform with escalation to upstream Platform team if needed
• Create data products for business use, including visual outputs via Databricks Dashboards and Power BI
• Collaborate with Data & BI team, stakeholders, and IT to translate technical requirements into robust data products
• Partner with business users to develop lakehouse data products with focus on performance and reusability
• Support code and modelling reviews to build confidence in business-owned data products
• Maintain Power BI reporting and dashboards to support business and data needs
• Explain technical concepts and trade-offs clearly to non-technical stakeholders
• Work across teams, including IT, Platform, and the wider organization
• Requirements and Qualifications for Data Engineering within insurance, SQL and PySpark mastery, data modelling experience, medallion architecture familiarity
• Desire for understanding of LLMs/AI/RAG within insurance and Databricks Genie experience

• Advanced SQL and PySpark skills
• Experience with Databricks and Delta Lake
• Data modelling experience including medallion architecture
• Power BI proficiency
• Strong communication with non-technical audiences
• Agile/Scrum delivery experience
• Understanding of data governance and version-controlled workflows
• Collaborative and cross-functional working style
• Experience in insurance industry is a plus
• Familiarity with dimensional modelling concepts
• Relevance of Databricks Genie and AI concepts is a plus

• collaboration
• clear communication
• stakeholder management
• SQL
• PySpark
• Databricks