Generative BI Engineer at Dr Bill RBC Ventures

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

26 Apr, 26

Salary

0.0

Posted On

26 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Engineering, Machine Learning, Generative AI, Data Pipelines, Collaboration, Problem Solving, Cloud Computing, ETL, Data Warehousing, Big Data Management, Agile, DevOps, Documentation, Analytics

Industry

Banking

Description

Job Description What's the opportunity? We’re looking for a Senior Data Engineer to join our team who will help shape the future of our Business Intelligence (BI) services. This role will focus on generative BI – developing a net new Gen BI experience. This is a unique opportunity to grow in the world of Analytics & BI and work with a team of passionate individuals committed to the mission of building resilient platforms. What you will do? Design, build, and productionize agentic GenAI systems (LLM agents) that autonomously execute tasks and integrate with users/systems. keep pace with GenAI technologies to improve the platform. Define metrics, monitoring, and evaluation to ensure solutions meet business goals and user needs. Develop frameworks and prompt strategies to optimize LLM outputs; implement end-to-end GenBI solution in production. Collaborate with architects and cross-functional teams to design data/AI architectures and integrate with existing pipelines. Build data pipelines and reusable components, document, and present work to technical and non-technical stakeholders. What you need to succeed? Must have: BS in Computer Science/Software Engineering or related field. 1–2 years building and deploying ML/GenAI solutions in production. High proficiency in Python; solid software engineering fundamentals. Advanced SQL and experience with relational databases. Hands-on experience building AI agents and integrating them into real applications. Familiar with GenAI stack: LLMs, agents, MCP servers; service integrations. Strong analytical, problem-solving, communication, and collaboration skills. Nice to have: Data engineering best practices (schema, quality, governance), cloud, databases/warehousing, ETL and streaming. Experience with Teradata, S3, Snowflake, Airflow, Hadoop, PySpark. DevOps tooling: Git/GitHub/Jenkins, HashiCorp Vault; Node.js Tools/methodology: Jira, Confluence; Agile/Scrum. 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. #LI-Post #LI-Hybrid 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: 2026-01-31 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above 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. 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. Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 84,000+ employees who bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to more than 16 million clients in Canada, the U.S. and 34 other countries. Learn more at rbc.com.‎ We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/community-social-impact.

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Responsibilities

Design and build generative BI systems that autonomously execute tasks and integrate with users and systems. Collaborate with cross-functional teams to design data and AI architectures and implement end-to-end solutions.