Data Engineer in Wealth Management
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Summary
Staff Data Engineer at RBC Wealth Management in Toronto, building and maintaining production-grade data pipelines, APIs, and data quality frameworks to power AI and BI solutions. Core stack includes Python, SQL, Databricks, Snowflake, and Spark.
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 • 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.
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 • 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.