Senior Data Engineer (Python & Databricks)

In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future.

• 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
• 2 lata doświadczenia na podobnym stanowisku
• Znajomości: SQL, Python, Databricks, Delta Lake, PySpark

Nice to have:

• Azure Data Factory
• Azure DevOps

• Support transformation from SQL Server–based systems to a Databricks / Delta Lake platform
• Transform 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
• 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)