Senior Data Engineer

Job Description 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. 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 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 Skills 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 Note: 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 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.

You will build and maintain scalable data products, pipelines, and Gen AI systems while ensuring data quality and performance. Additionally, you will collaborate with data scientists to support analytics and establish industry best practices for data management.

Candidates must have a degree in a technical field and at least 2 years of industry experience in data engineering. Proficiency in Python, SQL, NoSQL, and experience with API development and cloud-based data solutions are required.

• Bonuses • Flexible benefits • Competitive compensation • Commissions • Stock options • Coaching and development opportunities • Training program • Flexible work/life balance options

Identified from the job description. Confirm important requirements above.

• Data Engineering
• Python
• SQL
• NoSQL
• ETL/ELT
• API Development
• Microservices
• Data Modeling
• Cloud Management
• Data Warehousing
• Data Streaming
• Gen AI
• Prompt Engineering
• Schema Management
• Data Governance
• Distributed Computing
• REST API Development
• AWS SageMaker
• Atlassian Confluence
• Workplace Inclusivity
• Pipelines
• Generative Artificial Intelligence
• Workflow Management
• Apache Airflow
• Snowflake (Data Warehouse)
• Data Preprocessing
• AI Agents
• Analytical Skills
• Model Context Protocol (MCP)
• Java (Programming Language)
• .NET Framework
• Application Programming Interface (API)
• Agile Methodology
• Artificial Intelligence
• JIRA
• Big Data
• Management
• C# (Programming Language)
• C++ (Programming Language)
• Cloud Computing
• Communication
• Computer Science
• Data Processing
• Extract Transform Load (ETL)
• Data Management
• Data Mining
• Data Quality
• Database Development
• Financial Services
• French Language

• Data & Analytics
• Technology
• Software
• Finance & Accounting
• Engineering
• Data Engineer
• Software Developers
• Database Administrators

Minimum education

Bachelor’s degree

Minimum experience

2+ years

Apply by

Aug 15, 2026

Posting language

English

Working hours

38 hours per week