Senior Data Engineer (Python & Databricks)

Support a large-scale transformation from SQL Server–based systems to a Databricks / Delta Lake platform
Transform complex, business-critical SQL logic (stored procedures) into clean, maintainable, and scalable Python / PySpark code
Redesign and implement this logic in Python / PySpark within Databricks
Contribute to a large, long-running data engineering codebase used by multiple teams
Develop production-grade transformation code (packages, modules, reusable components)
Design and evolve data models within a Medallion Architecture (Bronze / Silver / Gold) across multiple data layers
Ensure software engineering quality, reusability, and long-term maintainability
Apply software engineering best practices (clean code, OOP, modularization, refactoring)
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)

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
Strong data modelling background (transactional and analytical)
Experience in redesigning models during platform migrations
Familiarity with layered data architectures (Bronze / Silver / Gold)
Very good English skills

Remote working model
Full-time job agreement based on b2b and employment contract
Private medical care with dental care (covering 70% of costs) + rehabilitation package. Family package option possible
Multisport card (also for an accompanying person)
Life insurance

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