Lead Data Scientist | Data Scientist

Job Summary

This role involves leading and developing a Data Engineering team while coordinating complex projects alongside Data Scientists, Engineers, and Product Owners. On a day-to-day basis, the successful candidate will build and operate scalable Databricks pipelines using Python, manage Azure Data Factory for orchestration, and integrate various SQL/NoSQL databases. A core focus of the position is establishing group-wide standards, reusable templates, and robust documentation to ensure high-quality data solutions. The role is highly attractive due to its blend of technical leadership and hands-on architecture within a modern Lakehouse environment. Furthermore, the position offers exceptional work-life balance through a 37.5-hour work week, hybrid working options, and a comprehensive benefits package including specialized insurance products and financial perks. It is an ideal opportunity for a seasoned professional looking to drive DataOps excellence and performance management in a stable, forward-thinking corporate environment.