Business Data Engineer

RBC • Toronto, ON

1d • Onsite

About The Position

As a 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.

Requirements

• Demonstrated ability for problem solving and out-of-the-box thinking.
• 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 and bring a broad knowledge of all things IT-, CS- and data-related.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed