Advance your career at RBC as a Senior Data Engineer in Toronto, optimizing AI solutions and enhancing data governance structures. Bring your cloud expertise to a collaborative team.

In this role within the Global Functions Technology division, focus on developing high-quality data pipelines to support innovative ML operationalization. You will play a key role in standardizing processes while driving technical innovation in cloud environments. Your problem-solving skills will help create scalable solutions that enhance marketing and client relationship capabilities.

Key Responsibilities:



• Develop and manage data feature stores for high-quality insights • Design scalable pipelines for effective data storage solutions • Collaborate with data scientists to ensure consistent feature definitions • Implement MLOps practices for efficient ML lifecycle management • Analyze and preprocess data to prepare for model training

Requirements: • Bachelor’s or Master’s degree in technical field • Minimum of 4 years in software and application development • High-level skills in Python and data engineering frameworks • Robust knowledge of CI/CD and DevOps practices • Excellent collaboration and communication abilities

Become an integral part of RBC’s mission to transform financial solutions through data engineering and analytics. #J-18808-Ljbffr

📌 RBC Senior Data Engineering Specialist (Winnipeg)
🏢 RBC
📍 Winnipeg