Elevate your career as a Data Engineer with RBC Wealth Management in Toronto, Canada. Build and maintain data pipelines to support innovative AI and BI solutions empowering leadership.

As a Staff Data Engineer, you will help modernize data architecture and establish robust analytical environments. Your role requires collaboration with digital investment teams, focusing on high-performance data foundations and automation capabilities. You will design scalable data models that serve diverse consumer needs while optimizing data delivery and integrity.

Key Responsibilities: • Architect and maintain high-performing data environments • Design scalable,



production-grade data pipelines • Build APIs for seamless data integration • Implement data quality frameworks for integrity • Optimize pipeline performance and cost management

Requirements: • Bachelor’s degree in a relevant technical field • 5+ years of qualified data engineering experience • Strong Python and SQL programming skills • Experience with Databricks, Snowflake, and Spark • Knowledge of data governance and security best practices

Drive impactful data solutions while working in a collaborative, innovative environment at RBC in Toronto. #J-18808-Ljbffr

📌 Data Engineer in Wealth Management (Winnipeg)
🏢 RBC
📍 Winnipeg