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 agile 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
🏢 RBC
📍 Toronto