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 professional data engineering experience
- Solid 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.
📌 Data Engineer in Wealth Management (Toronto)
🏢 RBC
📍 Toronto