Job Description

What is the opportunity?

Supports the development and maintenance of scalable data stores that supply big data in forms needed for business analysis. Applies experience and seasoned knowledge, skills, and practices to perform a variety of assignments.

What will you do?

• Design, build, and review scalable data pipelines, analytics platforms, and ML systems. 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 and ML engineering. Evaluate emerging technologies and guide adoption to drive innovation.

• Partner Cross-Functionally: Work closely with data scientists, 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.

What do you need to succeed?

Must Have:

• 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.
  

Nice to Have:

• Proven experience in cloud platforms like AWS or Azure, with knowledge of scalable architecture patterns.

• Familiarity of front-end frameworks (e.g. React, Angular)

What’s in it for you?

• 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

#LI-POST
#TECHPJ

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:

2026-02-23

Application Deadline:

2026-05-31

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.

Join our Talent Community

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

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.