We are looking for a senior Data SME to support a data engineering initiative built on Azure and Databricks within a Corporate Banking context. The ideal candidate brings deep, hands-on technical experience in data mapping and the
Data Pipeline & Management: Architect, build, and manage end-to-end ETL/ELT pipelines and ingestion workflows to transform raw data from diverse sources into structured BigQuery tables.
Design and develop modern data platforms using Microsoft Fabric, Azure Data Factory, OneLake, Dataflows, Lakehouse, Warehouse, Data Pipelines, and related Azure services.