Generative BI Engineer

ODAIA; Toronto; On-site; CAD 75,000 - 100,000; Full time

Job summary

A data-driven innovation company in Toronto seeks a professional to develop a new Generative BI service. The ideal candidate has experience with cloud technologies like Azure and AWS, and industry-leading BI tools such as Power BI and Tableau. Responsibilities include collaborating with engineers, providing expert guidance, and developing automation scripts within a dynamic team environment. This role offers competitive compensation and the opportunity to make a significant impact.

Benefits

Comprehensive Total Rewards Program including bonuses and flexible benefits

Competitive compensation and stock options

Opportunities for development through coaching

Qualifications

• Proficiency in SQL or similar database query language.
• Experience with various cloud technologies.
• Experience working with Servers (Windows or Linux OS servers).
• Experience with industry-leading BI technologies.

Responsibilities

• Development of a new Generative BI service.
• Collaborate closely with BI platform engineers.
• Support business and technical teams with expert guidance.
• Develop automation scripts and metrics on platform usage.

Skills

Big Data Management

Cloud Computing

Database Development

Data Mining

Data Warehousing (DW)

ETL Processing

Requirements Analysis

Education

Canadian post-secondary institution focused on Computer Science, Engineering, or Technology

Tools

Linux/Unix

Python

Shell Scripting

Azure

AWS

GCP

Power BI

Tableau

Job description

What You’ll Do

• Development of a new Generative BI service
• Work with leading industry technologies such as: Power BI (MS Fabric), Tableau
• Platform engineering work and technology research
• Collaborate closely with our team of BI platform engineers, to develop a practical solution
• Support business and technical teams with expert guidance and consultancy in all matters relating to Business Intelligence, Analytics and Reporting
• Develop metrics on platform usage & metadata analysis
• Develop automation scripts
• Identify and recommend performance tuning and optimization opportunities
• Create and contribute relevant content and material to the BI CoE
• Rapidly iterate on designs based on feedback, research, and testing

What We’re Looking For

• Canadian post-secondary institution with a focus on Computer Science, Engineering, or Technology
• Leadership acumen and a passion to apply it in a dynamic business environment
• Excellent interpersonal and highly developed communication skills (verbal and written)
• Confidence in working independently or as member of a team
• Capability to manage multiple priorities across several assignments and prioritize effectively
• Ability to resolve any minor conflicts/issues and escalate to others as appropriate
• Experience with Linux/Unix, Shell Scripting, Python/PySpark Scripting
• Experience in working with Servers (e.g. Windows or Linux OS servers)
• Experience with various cloud technologies (Azure, AWS, GCP)
• Experience with industry leading BI technologies (i.e. Tableau, Power BI, etc.)
• Experience with Platform provisioning (IaC methodology), migration and upgrade
• Experience with Devops process
• Knowledge of On-prem and Cloud database
• Proficient in SQL, or similar database query language

• Knowledge on AI, LLMs
• Prompt engineering

What’s in it for you?

• Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
• Leaders who support your development through coaching and managing opportunities;
• Ability to make a difference and lasting impact from a local-to-global scale.

About RBC Borealis

RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

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 WATERPARK PLACE, 88 QUEENS QUAY 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: 2025-10-23

Application Deadline: (Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above)

Note

Inclusion and Equal Opportunity Employment

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.