Join RBC as a Senior Data Engineer and drive innovation in AI-enhanced underwriting. This full-time role focuses on building robust data solutions in a energetic team.

As part of the Global Functions Technology team, you'll develop data pipelines and manage feature extraction for ML initiatives. Collaborate closely with cross-functional teams to ensure data integrity and compliance while applying agile methodologies. Your role is pivotal in implementing reusable pipelines and optimizing quantitative algorithms lifecycle management.

Key Responsibilities:



• Create pipelines for feature extraction and transformation • Ensure data quality and governance for regulatory compliance • Partner with data scientists to align feature definitions • Implement automated MLOps solutions for ML model efficiency • Conduct data analysis and feature engineering for model training

Requirements: • Degree in Computer Science, Mathematics, or related field • 4+ years in application programming and data engineering • Proficiency in Python, PySpark, and relevant ML frameworks • Experience with DevOps tools and practices • Ability to drive innovation and communicate effectively

Lead transformative projects and impact client relations through data engineering excellence at RBC.

📌 Data Engineer Role in Toronto (Winnipeg)
🏢 RBC
📍 Winnipeg