Data engineer in insurance

This role sits within the Great Lakes Data & BI team, responsible for building and maintaining data products within the Azure Databricks lakehouse, including Silver and Gold table transformations and semantic layer outputs, and for diagnosing and resolving data issues arising from the data intake platform. Reporting to the Data & BI Lead, the successful candidate will work closely with IT on data modelling for Silver and Gold, bringing strong technical input to those discussions, while collaborating with the wider business, from Underwriters to Actuaries.

• Design, build, and maintain Silver and Gold table transformations within the Azure Databricks lakehouse, in line with agreed medallion architecture principles
• Contribute technical input into data modelling discussions for Silver and Gold layers, working closely with IT to ensure models are performant and aligned to Munich Re modelling standards
• Investigate and resolve data quality issues arising from the data intake platform, working with the Platform team where root cause sits upstream
• Build new data products for business consumption, including outputs surfaced through various visualisation mediums (experience with Databricks Dashboards & Power BI preferred)
• Collaborate with the Data & BI team, business stakeholders, and IT to translate technical requirements into robust, well-modelled data products
• Partner with business users to develop data products within the lakehouse, ensuring transformations are built for performance and reusability
• Support code and modelling reviews, helping to build shared confidence between the business data team and IT on business-owned data products
• Build and maintain Power BI reporting and dashboards where required to support business and data team needs
• Explain technical concepts and trade-offs clearly to non-technical stakeholders, including underwriters, actuaries, and other business users
• Work collaboratively across team boundaries, including with IT and the Platform team, and across the wider organisation
• Ensuring compliance with Munich Re’s Code of Conduct and the FCA Conduct Rules

• Proven experience in a Data Engineering role within the insurance industry
• Advanced SQL and PySpark skills, with hands-on experience building data transformations and data products
• Demonstrable data modelling experience, including practical experience with medallion architecture, and comfortable contributing technical input into modelling discussions alongside IT
• Power BI experience, able to build and maintain dashboards and reports where needed
• Proven ability to navigate challenging situations and stakeholders, balancing technical constraints against business urgency
• Strong communicator, able to explain technical work and trade-offs clearly to a non-technical audience
• Self-starter, comfortable working across all parts of the business - from Underwriters to Actuaries
• Experience working in an Agile/Scrum delivery environment, contributing to backlog refinement and sprint ceremonies
• Understanding of data governance principles and version-controlled development workflows
• Strong collaborator, able to work effectively within a close-knit team as well as across team boundaries, including with IT and the Platform team
• Bachelor's degree in a scientific, mathematical, technical, or business discipline and/or
• Relevant professional/technical qualifications (Databricks Certified Data Engineer, Azure Data Engineer Associate)
• Sustained good performance in a data engineering role
• Experience within the insurance industry, ideally with exposure to Delegated Authority and/or Large Single Risk/Specialty business
• Familiarity with dimensional modelling concepts (star schemas, slowly changing dimensions) as applied within a modern lakehouse environment
• You are seen as an expert in your field and will be the ‘go to’ person for your area of specialism within Munich Re. You will be seen as a role model/mentor to others – identifying opportunities to share your knowledge with others.
• You will demonstrate and role model inclusive behaviour and encourage your colleagues to play an active role in creating an inclusive culture as well.
• You will treat your colleagues and sales and business partners fairly and with respect.
• Будет плюсом: familiarity with Unity Catalog and semantic layer/consumption-layer tooling is a plus (Power BI & Databricks Dashboards); Understanding of LLMs, AI, and RAG within the insurance industry (experience with Databricks Genie advantageous)

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