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This Supervising Associate role within GDS R And DA UKI focuses on data engineering, collaborating with business reporting and cross-functional teams. You will drive data engineering efforts, support project transitions, and manage post-transition enhancements. Working closely with back-end data architects and systems engineers, you'll develop data objects aligned with business needs and act as a subject matter expert to advance organizational vision.

As a Supervising Associate, you will lead data engineering initiatives, translating business requirements into robust data solutions. You will manage project transitions, ensuring smooth handover and continued development. Responsibilities include building data objects that support critical business functions, collaborating with architects and engineers, and applying specialized knowledge to drive innovation. You will also serve as the primary subject matter expert for data engineering within the team.

We are seeking candidates with advanced proficiency in Python (PySpark) for ETL/ELT pipeline development in Databricks, and deep expertise in SQL for complex query writing and data modeling within LakeHouse architecture. Strong experience with Apache Spark (PySpark/Scala) for distributed data processing and Databricks is essential. Familiarity with Change Management, Project Delivery Management, Azure DevOps, and Git/Version Control is also required. Experience in Data Pipeline Development, Data Quality & Governance, and Azure Cloud services is necessary.