Are you a hands on Data Engineering leader who loves building high impact data platforms while mentoring and growing teams? We''re hiring a Data Engineering Manager to join a fast moving, product focused environment where collaboration is high, decisions are quick, and your work will directly shape real products used by the business. The Role This is a true player coach position, roughly 50% hands on engineering and 50% team leadership. You''ll lead a small but growing team of Data Engineers (currently 5, mostly junior), helping them mature technically while remaining deeply involved in building and optimising modern data pipelines on Databricks. The team works in a highly collaborative office environment, enabling rapid delivery and close cross functional teamwork. What You''ll Be Doing Leading and mentoring a team of Data Engineers Designing and building scalable data pipelines in Databricks Remaining hands on with Python/PySpark development Working closely with product, Front End, and Back End teams Integrating multiple data sources, including APIs Driving best practice across the data platform Helping shape the future data architecture What We''re Looking For Essential: Strong commercial experience with Databricks Advanced Python and PySpark Solid SQL skills Experience building production data pipelines Experience working with API based data ingestion Familiarity with Azure storage connectivity Prior technical leadership or mentoring experience Nice to have: ..... full job details .....