What is the opportunity? Join RBC Wealth Management Data & AI as we build a global data foundation and deliver innovative AI capabilities across our worldwide businesses. As a Data Engineer, you will play a key role in upgrading our infrastructure, developing next‑generation data solutions, and contributing to the creation of AI agents and the Model Context Protocol (MCP). This is an exciting opportunity to work on impactful projects that drive the future of data and AI at RBC Wealth Management.

Job Description Join RBC Wealth Management Data & AI as we build a global data foundation and deliver innovative AI capabilities across our worldwide businesses. As a Data Engineer, you will play a key role in upgrading our infrastructure, developing next‑generation data solutions, and contributing to the creation of AI agents and the Model Context Protocol (MCP). This is an exciting opportunity to work on impactful projects that drive the future of data and AI at RBC Wealth Management.

What will you do?

You will be working closely with other data engineers and data scientists to support data ingestion and reporting analytics, establishing industry best practices, maintaining and managing technical documentations

Build data products using structured and unstructured data. Ensure data quality, performance, scalability

Support Gen AI platform engineering, Prompt Engineering, including designing and refining prompts to optimize LLM outputs, implementing Gen AI systems into production

Contribute to production efforts via data pipelines, reusable frameworks, distributed computing

Contribute to documentation, governance, and performance improvements in data management practices

Build and implement ETL frameworks to improve code quality and reliability.

What do you need to succeed? Must Have

Degree in Computer Science or Engineering related technical field

2+ years of industry experience in Data Engineering. Knowledge of data engineering industry best practices: schema management, data quality, data governance, Cloud management, Databases, Data Warehousing, ETL pipelines, and data streaming





Programming experience in Python for scripting and data processing

Experience with REST API development, designing and developing robust scalable API, microservices, and data pipelines in production

Strong Knowledge of SQL and NoSQL solutions, including data modeling and optimization.

Defining and building scalable ETL/ELT workflows for reporting and analytics.

Developing scripts and programs for converting various types of data into usable formats.

Excellent collaboration skills and proven ability to adapt to challenges, coaching and mentoring.

Strong communication and analytical skills, including conceptual, requirements interpretation, solution creation and problem-solving abilities.

Nice to Have

Basic understanding of AI/ML workflows (e.g., data preparation, model input/output)

Experience using AWS Sagemaker, S3, Snowflake, Airflow, Hadoop

Familiar with JIRA, Confluence, Agile/Scrum development methodology

Have past experience with at least one of the Object-Oriented development languages (C++, C# .NET, Java) is a plus

Ability to read and write in the French language is a plus

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.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

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

A world‑class training program in financial services

Flexible work/life balance options

Opportunities to do challenging work

Compensation for this position (including salary and discretionary/variable payments) will be determined by factors, including but not limited to candidate’s experience, skills, registration status, performance, individual goals, market conditions, and business needs.

Pay Range The expected pay range for this position is:

$80,000- $130,000

API Development, Big Data Management, Cloud Computing, Database Development, Data Engineering, Data ETL, Data Mining, Data Warehousing (DW), Group Problem Solving, Python (Programming Language), Quality Management, Requirements Analysis, REST API Development, RESTful APIs, Snowflake (Platform), Tableau (Software), Tableau Server

Additional Job Details Address:

180 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-31

Application Deadline:

2026-08-15

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 prospect for all.

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📌 Senior Data Engineer (Winnipeg)
🏢 RBC
📍 Winnipeg