Informacje o stanowisku

technologies-expected :

• Python
• PySpark
• SQL
• Databricks
• Delta Lake

• Azure Data Factory
• Azure DevOps
• Git
• Microsoft Power BI

• 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. We are seeking an experienced Senior Data Engineer with Python and Databricks.
• This role supports a large-scale transformation from SQL Server–based systems to a Databricks / Delta Lake platform. 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.
• Type of project: IT Services
• Office location: Poland
• Work model: Remote from Poland
• Budget: 140 - 160 PLN net/ h - b2b
• Project length: till the end of 2026, possible to extend it
• Only candidates with citizenship in the European Union and residence in Poland
• Start date: ASAP

• 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

• sharing the costs of sports activities
• private medical care
• life insurance
• remote work opportunities
• flexible working time
• integration events
• dental care
• no dress code

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