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About the Role

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. The role involves diagnosing and resolving data issues arising from the data intake platform, reporting to the Data & BI Lead. The successful candidate will collaborate closely with IT on data modelling for Silver and Gold, providing strong technical input, and work with business stakeholders from Underwriters to Actuaries.

Responsibilities

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
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

Requirements

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
Experience with Databricks, including Delta Lake; familiarity with Unity Catalog and semantic layer/consumption-layer tooling is a plus
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
Understanding of LLMs, AI, and RAG within the insurance industry

Skills

Azure Databricks
Databricks Dashboards
Power BI
SQL
PySpark
Delta Lake
Unity Catalog
Agile/Scrum
Data Governance
LLMs
AI
RAG
Databricks Genie

Location

Work Type

Full-time

Experience Level

Senior

Education Level

Bachelor's degree in a scientific, mathematical, technical, or business discipline
Relevant professional/technical qualifications (Databricks Certified Data Engineer, Azure Data Engineer Associate)

About the Company

As specialty provider of primary insurance services in the UK, Great Lakes London Branch (“GLLB”) is a substantial part of Great Lakes Insurance SE in Munich.
Our interlocked business model is to seize opportunities closely connected to the reinsurance core business and innovation opportunities, in our role as an integral part of the Munich Re Group.
Great Lakes Insurance SE operates from its headquarters in Munich, and via branch offices in the UK, Ireland, Switzerland, Italy and Australia.
Great Lakes Insurance UK Limited (“GLLS”), regulated by the Prudential Regulation Authority and the Financial Conduct Authority, is a fully owned subsidiary of Great Lakes Insurance SE and acts as the preferred facilitator of agency insurance business in the UK in the post-Brexit world.

Equal Opportunity

At Munich Re, Diversity, Equity, and Inclusion foster innovation and resilience and enable us to act braver and better. Embracing the power of DEI is at the core of who we are.
We recognise diversity can be multi-dimensional, intersectional, and complex, so we want to build a diverse workforce that includes a wide range of racial, ethnic, sexual, and gender identities; economic and geographic backgrounds; physical abilities; ages; life, school, and career experiences; and political, religious, and personal beliefs.
Additionally, we are committed to building an equitable and inclusive work environment where this diversity is celebrated, valued, and has equitable opportunities to succeed.
If you are excited about this role but your experience does not align perfectly with everything outlined, or you don’t meet every requirement, we encourage you to apply anyway. You might just be the candidate we are looking for!
All candidates in consideration for any role can request a reasonable adjustment at any point in our recruitment process. You can request an adjustment by speaking to your Talent Acquisition contact.