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 productive 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
• Strong 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.
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📌 RBC Senior Data Engineering Specialist (Toronto)
🏢 RBC
📍 Toronto