Data Engineer

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Beschreibung

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 Databricks platform, strong SDLC and data warehouse fundamentals, and is comfortable owning data solutions end- to-end on a live banking data platform. Trade, Lending, or Payment domain exposure is a strong plus. Required Skills & Experience • At least 10 years of experience in the data space, with exposure to Corporate Banking. • Technically strong in data mapping (source-to-target) and the Databricks platform — pipeline development, job/cluster management, and performance tuning. • Strong experience across SDLC phases: requirements, design, build, test, and deployment. • Strong understanding of data warehouse concepts (e.g., dimensional modeling, ETL/ELT). • Strong working knowledge of Azure and Databricks. • Strong hands-on SQL and Python skills. • Working knowledge of integration methods: file transfer protocols (FTP/SFTP), MQ, and APIs. • Excellent communication skills and proven hands-on ownership of a live data platform. Good to Have • Trade, Lending, or Payment domain exposure. • Prior experience on a core banking or banking transformation program.

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