Data Engineer Roles at RBC

Elevate your career with RBC as a Data Engineer in Toronto. This hands-on role focuses on designing complex data architectures and optimizing data pipelines for advanced analytics and reporting.

Join the Metadata Engineering team within Global Functions Technology. You will oversee the creation and management of data engineering solutions and data architectures vital for supporting organizational decision-making. Your expertise in Python and SQL will play a critical role in ensuring system stability and security while collaborating with cross-functional teams to align data solutions with strategic goals.

Key Responsibilities:

• Design and develop reusable data architectures and assets

• Build and maintain secure data pipelines with automated tests

• Implement robust monitoring and alerting for data platforms

• Conduct peer reviews and address security vulnerabilities

• Explore innovative technologies including AI/ML for optimization

Requirements:

• 3-5 years in data engineering with expertise in architecture

• Proficient in Python and SQL for development and querying

• Familiarity with CI/CD and Dev Ops practices

• Strong understanding of secure coding practices

• Experience with testing frameworks and code quality standards

Utilize your data engineering skills to drive data quality and key decision-making at RBC in Toronto.
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