Job DescriptionWhat 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.
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? - 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
The pay range provided is for the primary work location referenced in the Additional Job Details section of this job posting. Pay ranges may differ based on location. If the posting lists multiple job locations, a recruiter can confirm availability of the role and the relevant pay range for the additional locations listed. RBC supports pay transparency and we strive to ensure all pay ranges are competitive, fair, and equitable.
Job SkillsAPI 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 DetailsAddress: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
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
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.
