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RBCx

Senior Business Data Engineer

Toronto, Ontario, CanadaPosted Today
Full-timeonsite

Job Description

Job Description

What is the opportunity?

As a Senior Business Data Engineer, you will apply your technical skills directly within a business unit, enabling you to witness the tangible impact of your work. You will support and help define the Data Strategy by researching and developing analytics solutions tailored to Business Analysts, Data Scientists and other data practitioners in Regional Banking. In this role, you will play a critical part in advancing, modernizing and enhancing data process automation capabilities and best practices. This is an Individual Contributor role with significant exposure to real-world business problems and numerous opportunities to make a meaningful impact.

In this role, you will collaborate thoughtfully, prioritizing solutions that empower others and actively seeking opportunities to support your team. You will share knowledge openly, ensuring your expertise benefits colleagues and fosters a culture of learning. By leading through example, you will inspire excellence and drive. Do you consider yourself to be technically sound? Have you ever written shell scripts over ssh, debugged software in a language you don't know, or written a scraper by emulating HTTP requests? Do you know how to exit vi? If the answer to these is yes, consider applying!

What will you do?

  • Develop code for data wrangling (ETLs, infrastructure deployment, automation -- mostly SQL and Python).

  • Write and maintain documentation and knowledge base to promote our data strategy, assets, platform and tools.

  • Collaborate with end-users (Business Analysts, Data Scientists, …) to reframe ways of working with data; identify and implement leverage for productivity (data assets, automation, infrastructure, tooling, ...).

  • Partner with IT stakeholders to leverage their expertise, best practices and resources.

  • Support end-users in adopting best practice and new technology, including training.

What do you need to succeed:

Must-have:

  • 10+ years of experience in Data Engineering, Data Science, Software Engineering or related domains. A broad knowledge of all things IT-, CS- and data-related.

  • Demonstrated ability for problem solving and out-of-the-box thinking and strong collaborative attitude: you build with others in mind and jump at opportunities to help. You share your knowledge readily. You write code and documentation so that it can be used and reused by your colleagues.

  • Comfort in researching, assessing and adopting new technologies. You are pragmatic and use the best tool for the job, not the shiniest.

  • Experience in building and maintaining data pipelines, data models, and anything analytics-related (Business Intelligence, Data Science, ...).

  • High proficiency in Python and SQL: you can write, diagnose and optimize complex queries, you have used more than one flavor of SQL, and you can read and write Python code even without AI assistance.

  • You know how to use VCS and are familiar with best practices for software development.

Nice to have:

  • Experience in the banking industry, workforce management or business reporting.

  • Experience with cloud-based data platforms (MS Fabric, Databrick, …).

  • A degree in a CS-related field.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

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

Opportunities to do challenging work and take on progressively greater accountabilities

Job Skills

Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

PERSONAL & COMMERCIAL BANKING

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-26

Application Deadline:

2026-06-10

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.

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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.

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.

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