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 settings
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 professional data engineering experience
Robust 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 setting at RBC in Toronto.

📌 Data Engineer In Wealth Management Toronto
🏢 RBC
📍 Toronto