The Data Engineer supports the Credit Review function through the design, maintenance, and enhancement of the data environment that underpins credit risk analytics and reporting across the bank's lending portfolios. This role combines technical depth in SQL, Python, and AWS with strong analytical judgment in a credit and risk management context. The Data Engineer will maintain and evolve existing data pipelines and dashboards that enable Credit Review's monitoring and analytics programs. The role requires hands-on experience developing and optimizing data solutions in AWS using tools such as Glue, Lambda, Step Functions, and Redshift. The ideal candidate is comfortable maintaining code, querying data, and supporting the ongoing buildout of a scalable, governed analytics environment. This position reports to the Credit Review Data Analytics Manager and works closely with Credit Review leadership, data engineering, and risk analytics teams across the bank. Experience in banking, especially in risk management, is highly valued. Financial risk model development/assurance and/or AI tool-building experience is a differentiator.