Job Description
What is the opportunity?Global Functions Technology (GFT) is part of RBC's Technology and Operations division. GFT's impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.This role supports the development and maintenance of scalable data stores that forms the Market Risk eco system in RBC. Optimizes data solutions, ensuring the delivery of high quality data assets, reporting, and business intelligence to support organizational objectives. Manages data engineering projects or assignments of increasing complexity, scope and impact, applying professional judgment and expertise.What will you do?Design, build, and review scalable data pipelines, data lakes, warehouses and analytical platforms. This is a hands-on role with end-to-end ownership, with significant time doing coding.
Set Technical Direction: Define and promote best practices in data engineering. Evaluate emerging technologies and guide adoption to drive innovation.
Partner Cross-Functionally: Work closely with business leaders, and IT teams to understand needs and translate them into technical solutions.
Deliver at Scale: Ensure projects are executed with high quality, on time, and aligned with business goals. Proactively identify risks and enforce compliance standards, especially around data governance and security.
5+ years developing in Java/Scala
5+ years of experience in building high performance, backend applications with Spring/Spring Boot etc.
3 + years hands on experience with any of the big data tools (e.g. Apache Spark/Hadoop/ AWS Glue/ AWS EMR/Snowpark/Azure Databricks/Azure Data Factory)
Excellent communication skills—able to clearly explain complex technical concepts to both technical and non-technical audiences.
Bachelor’s degree in computer science, Engineering, or a related field; Master's or PhD preferred.
Proven experience in cloud platforms like AWS or Azure, with knowledge of scalable architecture patterns.
Familiarity of front-end frameworks (e.g. React, Angular)
A Total Rewards program that includes flexible benefits, work/life balance and career development programs and investment and retirement savings plans
Competitive pay and high-earning potential
All the tools, training, and team support you need to grow your business and career
Flexible work/life balance options
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:
2026-02-23Application Deadline:
2026-07-31Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveOur Employment OpportunitiesAt 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.Join our Talent Community
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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.
Sr Data Engineer • TORONTO, Ontario, Canada
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