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