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 efficient 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 collaborative skills
Bring your expertise in data engineering and your passion for innovation to drive transformative projects at RBC.
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📌 Senior Data Engineer at RBC (Toronto)
🏢 Royal Bank of Canada
📍 Toronto