Senior Data Engineer

Job Description

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

• Drive strategic QE initiatives and implement automation standards and processes

• 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 the creation and maintenance of data architectures, integrating data from multiple environments and ensuring accessibility for analysts and data scientists

• Maximize automation coverage for all functional testing deliverables

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

• Work independently to plan, prioritize and execute assigned tasks

• 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

• Collaborate with Business analysts, Developers, Project Managers and Product owners to understand business requirements, design changes and test scope

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

• Maintains and enhances relationships with internal teams and external contacts to deliver measurable business outcomes

• Provides strategic guidance on emerging technologies and best practices, contributing to the continuous improvement of data engineering processes and tools

• Suggest improvements to testing processes and practices

• Be able to enhance their own skills and build knowledge in all aspects of the organization

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:TORONTOCity:

TorontoCountry:

CanadaWork hours/week:

37.5Employment Type:

Full timePlatform:

TECHNOLOGY AND OPERATIONSJob Type:

RegularPay Type:

SalariedPosted Date:

2026-08-26Application Deadline:

2026-10-31Note: 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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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.