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RBC Technology and Operations in Toronto is seeking a Senior Data Engineer to lead a team responsible for designing and delivering scalable ETL/ELT solutions for Contact Center Reporting. You will mentor engineers, drive data platform initiatives, and ensure production readiness and high availability.
The role requires 5+ years of data development experience, strong SQL/Python skills, and experience with cloud-based data platforms. This is a full-time role with on-site work in Toronto.
What is the opportunity?
This position is to research and design new and complex technology, provide the best in class and most cost effective technical solutions for Contact Center Reporting to meet business and technical requirements. The successful candidate will also be leading a team of Data Engineers to ensure that appropriate business acceptance, production acceptance, and integration testing is performed and that solutions are effectively migrated to production with minimal or no interruption to the Contact Centre operation.
What is the opportunity?
This position is to research and design new and complex technology, provide the best in class and most cost effective technical solutions for Contact Center Reporting to meet business and technical requirements. The successful candidate will also be leading a team of Data Engineers to ensure that appropriate business acceptance, production acceptance, and integration testing is performed and that solutions are effectively migrated to production with minimal or no interruption to the Contact Centre operation.
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
Accountability, Analytical Thinking, Big Data Management, Call Center, Cloud Computing, Collaboration, Communication, Cross-Functional Teamwork, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Incident Management, Planning & Execution, Problem Solving, Project Administration, Quality Management, Requirements Analysis, System Applications, Technical Knowledge, Waterfall Model
Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
City: Toronto
Country: Canada
Work hours/week: 37.5
Employment Type: Full time
Platform: TECHNOLOGY AND OPERATIONS
Job Type: Regular
Pay Type: Salaried
Posted Date: 2026-06-03
Application Deadline: 2026-09-30
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.