Elevate your career as a Senior Data Engineer with RBC in Toronto. Leverage your expertise in Python and Azure to deliver transformative AI solutions in a collaborative environment.

In this full-time role within the Global Functions Technology team, you will enhance underwriting capabilities through cutting-edge ML models. Collaborate with data scientists and engineers to create scalable data pipelines and feature stores, ensuring high-quality insights. Your leadership will champion best practices and automation across functions while promoting a clean and secure code culture.

Key Responsibilities: • Develop feature stores with integrated data quality for ML insights • Design and implement scalable data pipelines for various applications • Manage data consistency, lineage,



and metadata effectively • Collaborate with teams to standardize and promote feature reusability • Implement and maintain MLOps solutions for model optimization

Requirements: • Bachelor's or Master's degree in a related field • 4+ years in programming with focus on full-stack development • Expertise in Python and data frameworks like Spark • Strong DevOps experience with CI/CD pipelines • Proven problem-solving and analytical skills

Drive technical innovation and enhance data frameworks at RBC, where collaboration and ML excellence flourish. #J-18808-Ljbffr

📌 Senior Data Engineer at RBC (Winnipeg)
🏢 RBC
📍 Winnipeg