This role supports a large-scale transformation from SQL Server–based systems to a Databricks / Delta Lake platform within the Munich Re Exposure environment. The focus is on enterprise-grade data engineering and software development, not analytics or reporting.

The project is SQL2Databricks migration, it involves 3500-4000 SQL DBs (2TB), replicating data in different shapes/ schemas to Databricks (data volume in Peta bytes).
 

Job details:

• Role:Senior Data Engineer (Exposure platform)
• Full-time
• remote
• Start date: 30/03/2026
• End date: 31/12/2026

Scope:

• Read, understand, and reason about complex SQL stored procedures and business logic
• Re design and implement this logic in Python / PySpark within Databricks
• Develop production-grade transformation code (packages, modules, reusable components)
• Apply software engineering best practices (clean code, OOP, modularization, refactoring)
• Design and evolve data models across multiple data layers
• Work with very large data volumes and highly parallel, event-driven transformations
• Actively participate in code reviews and technical design discussions
• Support orchestration workflows (e.g., Azure Data Factory)
• Contribute to CI/CD pipelines and DevOps processes
• Exposure to analytics or reporting tooling (non-core)

Skills:

• Very strong Python and PySpark skills
• Proven experience with Databricks and Delta Lake
• Experience working in large, shared codebases (beyond notebooks)
• Strong SQL skills, especially reading and understanding complex logic
• Solid object-oriented programming experience
• Clean code principles, refactoring, maintainability
• Experience with enterprise development workflows
• Ability to explain and dissect existing code line by line
• Strong data modeling background (transactional and analytical)
• Experience redesigning models during platform migrations
• Familiarity with layered data architectures (Bronze / Silver / Gold)

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