Elevate your career as a Senior Data Engineer with RBC in Toronto. Leverage your expertise in Python and Azure to deliver transformative AI solutions in a collaborative workplace. In this full-time role within the Global Functions Technology team, you will enhance underwriting capabilities through innovative ML models.

Collaborate with data scientists and engineers to create scalable data pipelines and feature stores, ensuring high-quality insights. Your leadership will champion best practices and automation across functions while promoting a clean and secure code culture. Key Responsibilities:

- Develop feature stores with integrated data quality for ML insights
- Design and implement scalable data pipelines for various applications
- Manage data consistency, lineage,



and metadata effectively
- Collaborate with teams to standardize and promote feature reusability
- Implement and maintain MLOps solutions for model optimization

Requirements:

- Bachelor's or Master's degree in a related field
- 4+ years in programming with focus on full-stack development
- Expertise in Python and data frameworks like Spark
- Strong DevOps experience with CI/CD pipelines
- Proven problem-solving and analytical skills

Drive technical innovation and enhance data frameworks at RBC, where collaboration and ML excellence flourish.

📌 Senior Data Engineer at RBC (Toronto)
🏢 RBC
📍 Toronto