RBC, one of the largest banks in the world, is seeking a Lead Portfolio Data Engineer to join their team in Toronto. This role sits at the intersection of data engineering and investment technology, where you'll be responsible for building and maintaining scalable data infrastructure that powers critical business analytics.
The position requires expertise in modern data engineering tools, particularly Snowflake and SQL, combined with knowledge of investment data systems like Bloomberg AIM. You'll be working on designing and implementing data pipelines, optimizing performance, and ensuring data quality while collaborating with various stakeholders including Tableau developers and machine learning teams.
This is an excellent opportunity for an experienced data engineer who wants to work with financial data at scale. The role offers a comprehensive benefits package and significant career growth potential within a leading financial institution. RBC's commitment to innovation and their global presence provides an environment where you can make a meaningful impact while working with cutting-edge technologies.
The ideal candidate will bring both technical expertise in data engineering and an understanding of investment concepts, making this role perfect for someone looking to advance their career in financial technology. With RBC's collaborative culture and focus on employee development, you'll have opportunities to grow while working on challenging projects that support the bank's global operations.