
Enable job alerts via email!
Generate a tailored resume in minutes
Land an interview and earn more. Learn more
A leading global financial institution in Toronto is seeking a skilled Data Engineer to join its Fraud and AML IT team. The role involves developing and deploying data pipelines and collaborating with cross-functional teams. Candidates should have a strong background in data engineering, software development, and experience with Big Data technologies. This position offers the chance to contribute to innovative solutions within a supportive work environment.
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.
We are looking for a skilled Data Engineer to join our Toronto Fraud and AML IT team. Work on the development and deployment of data pipelines, drive innovation, and collaborate with cross‑functional teams to drive business growth and improvement. The candidate will have a strong background in data engineering, software development and leadership, with a proven track record of delivering high‑quality solutions that meet business needs. The person will collaborate closely with team members under an Agile Squad including product owners, architects, business analysts and quality engineers.
The candidate possesses deep understanding of data management principles, modern data stack, cloud computing and the ability to apply them in practical, business‑focused context. Partners across IT and with assigned business line(s) to assess, research, and analyze business, technical and system needs in order to resolve business systems issues.
Apache Spark, Big Data Management, Cloud Computing, Database Development, Data Mining, Data Pipelines, Data Warehousing (DW), ETL Processing, Group Problem Solving, Object‑Oriented Programming (OOP), Payments Domain, Payment Systems, Python (Programming Language), Quality Management, Requirements Analysis, Snowflake (Platform), SQL Database Queries.
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: 2025-11-17
Application Deadline: 2025-12-31
Applications will be accepted until 11:59 PM on the day prior to the application deadline date above.
At 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.
Stay in‑the‑know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
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.