Elevate your career with RBC as a Senior Data Engineer focused on AI and ML solutions. Collaborate with high-performing teams to develop impactful data pipelines and feature stores. At RBC, you will play a key role in our Global Functions Technology division, promoting cutting-edge IT solutions that serve diverse clients including Risk, Finance, and HR.

This senior role requires deep technical expertise and a commitment to quality in developing AI-enhanced underwriting capabilities. You will engage closely with data scientists and engineers to enhance operational models and streamline data management processes. Key Responsibilities:
Develop high-quality feature stores with data governance
Design scalable pipelines for feature extraction and storage




Ensure data consistency for regulatory compliance
Collaborate on standardizing feature definitions across teams
Implement MLOps solutions for productive model lifecycle management Requirements:
Bachelor's/Master's degree in Computer Science or related field
4+ years of programming experience in full-stack development
Proficiency in Python, PySpark, and data frameworks
Expertise in DevOps practices for CI/CD
Strong analytical and cooperative skills Bring your expertise in data engineering and your passion for innovation to drive transformative projects at RBC.

📌 Senior Data Engineer At Rbc Toronto (Canada)
🏢 Royal Bank of Canada
📍 Canada