Senior Data Engineer

ODAIA; Toronto; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

RBC Wealth Management Technology Data team is seeking a data/ QE engineer to drive automation, develop scalable data architectures, and lead testing efforts. You will work within an Agile, DevOps, and open-source environment to deliver ML-powered solutions for Wealth business and clients.

You will collaborate with cross-functional teams, design data solutions, and contribute to test strategy and governance while advancing analytics capabilities and reporting.

Qualifications

• Degree in Computer Science, Computer Engineering or an equivalent field.
• Proficient in SQL with database experience.
• Hands-on GenAI, coding, testing and analysis.
• Experience in Agile with strong communication skills.
• Experience with test management tools like JIRA/Confluence/Qtest.

Responsibilities

• Drive strategic QE initiatives and implement automation standards and processes.
• Develop, test, and deploy data and software architectures to generate reusable data assets for analytics.
• Lead test case design and execution based on requirements and user stories.
• Lead data engineering tasks requiring advanced problem solving and decision making.
• Collaborate with business and technology teams to design compliant data solutions.
• Provide recommendations to influence team and other work areas.
• Resolve data engineering problems and implement efficiency improvements.
• Participate in scrums and technical walkthroughs.

Skills

SQL

Python

Java

TypeScript

GenAI

Agile

Education

Bachelor's degree in CS/CE or related

Tools

JIRA

Confluence

Qtest

GitHub

UCD

Job description

Job Description

What is the opportunity?

This is an opportunity 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 strong 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.