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 innovative 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 collaborative skills

Bring your expertise in data engineering and your passion for innovation to drive transformative projects at RBC.

📌 Senior Data Engineer at RBC (Toronto)
🏢 Royal Bank of Canada
📍 Toronto