Senior Data Engineer with Credit Risk

Design and deliver batch and ad-hoc data pipelines for credit risk use cases, using Medallion Lakehouse patterns in Azure Databricks and cloud data engineering best practices. Build ingestion flows from upstream systems into object storage with Parquet features, integrate with external XVA/risk engines, and orchestrate long-running computations. Optimize risk measures for efficient consumption by BI tools, notebooks, and downstream applications while ensuring reliability, observability, security, and API quality.