RBC's Commercial Loan Portfolio Management team is seeking a Senior Data Engineer to drive the development and deployment of modern data stack for organizing, storing, and transforming Commercial Portfolio data assets. This role, working closely with the Portfolio Risk Oversight (PRO) Data Infrastructure & Innovation team under Group Risk Management (GRM), offers an opportunity to shape the future of RBC's infrastructure.
The position involves building custom risk Analytics and Insights by developing and operating a modern data stack for reporting & analytics. You'll be responsible for architecting, implementing, and managing data models and pipelines, while working with large datasets and building data-driven models. The role requires strong collaboration with business leaders to support decision-making through custom analytics.
As part of Canada's largest bank, you'll work with cutting-edge technologies including Python, PySpark, Apache Airflow, and various big data tools. The role combines technical expertise with business impact, requiring both hands-on development and strategic thinking. You'll be part of a dynamic team that values innovation and excellence, working on projects that directly impact the bank's commercial portfolio management.
The position offers professional growth opportunities in a collaborative environment, working with a team of 84,000+ employees across multiple countries. RBC's commitment to innovation and community impact makes this an ideal role for someone looking to make a meaningful contribution while working with advanced data engineering technologies.