Job Description What is the opportunity? This is an chance to work at RBC Wealth Management Technology Data team with a group of technology professionals dedicated to delivering transformative ML solutions to Wealth business and clients. We are all in with Agile development, DevOps, Open Source, Software as a Service (SaaS) and modern tools and processes.

What will you do?

Drive strategic QE initiatives and implement automation standards and processes. Work independently to plan, prioritize and execute assigned tasks

Develops, tests, and deploys complex data and software architectures to generate reusable data assets, enabling advanced analytics and reporting capabilities

Lead initiatives and create and execute test cases and test scripts based on business requirements and user stories

Leads data engineering tasks or projects requiring advanced problem solving and decision making, navigating ambiguity

Collaborates with business and technology teams to design and implement data solutions, ensuring alignment with organizational strategies and compliance standards

Drives decisions on issues requiring innovative thinking and technical expertise and providing recommendations that influence own team and across other work areas

Independently resolves data engineering related problems by identifying areas for improvement and implementing solutions that enhance efficiency within scope of responsibility

Actively participate in scrums/team meetings, technical walkthroughs and business reviews

What do you need to succeed? Must Have

A relevant degree or diploma in Computer Science, Computer Engineering or a comparable field of study

Database/API/UI experience with solid knowledge in writing SQL Queries

Good exposure to automation script development using Python/Java/Typescript

GenAI hands-on experience to generate code, test, analysis etc...

Experience working in Agile environment. Demonstrated ability in written and oral communication skills along with strong presentation skills





Experience with Test Management/Reporting tools like JIRA, Confluence, Qtest.

Nice to Have

Experience working with DevOps pipelines – GitHub, UCD

Experience in working and leading AI initiatives

ISTQB certification

Data Engineer AWS certification

What's in it for you?

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

Leaders who support your development through coaching and managing opportunities

Ability to make a difference and lasting impact

Work in a dynamic, collaborative, progressive, and high-performing team

Flexible work/life balance options

Opportunities to do challenging work

Access to a variety of job opportunities across business and geographies

Job Skills Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

Additional Job Details Address:

RBC CENTRE, 155 WELLINGTON ST 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:

2026-08-26

Application Deadline:

2026-10-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities 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.

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📌 Senior Data Engineer (Winnipeg)
🏢 ODAIA
📍 Winnipeg