Data Engineer
Summary
Data Engineer building a greenfield analytical data platform on Azure Databricks for a German insurer: implementing data loading routes and transformations, data quality and duplicate-matching rules, CRM exports, unit tests, and documentation, while helping transfer Databricks knowledge to the client's team. Core stack: Databricks, PySpark, SQL, Delta Lake, Git, Azure, Power BI.
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Role Description
We're hiring a Data Engineer to join a leading European data and AI consultancy building an analytical data platform on Azure Databricks for a German insurer.
The first phase delivers sales reporting and campaign management for a new pension product, with customer and broker data from multiple systems merged and cleansed to power Power BI reporting. Go-live is January 2027, followed by stabilisation until the end of March.
What You'll Do
- Implement data loading routes and transformations in Databricks to the lead engineer's specifications
- Build data quality rules and matching logic for duplicate detection across customer and broker data
- Create selections and standardised data exports for the CRM
- Write unit tests and support technical documentation
- Help transfer Databricks knowledge to the client's internal team
What We're Looking For
- 3+ years of data engineering experience, including hands-on Databricks project work
- Strong PySpark and SQL skills
- Experience with Delta Lake and Git-based workflows
- Fluent in written and spoken English
- Nice to have: Databricks certification, Azure experience, German
Why This Role
You'll play a hands-on part in taking a greenfield Databricks platform live in the finance and insurance sector, working alongside experienced data consultants and shaping how the client's team adopts the platform.