Senior Data Engineer

RBC; Toronto; On-site; CAD 111,000 - 180,000; Full time

Benefits offered by this job

Total Rewards program

Job summary

RBC Wealth Management Data & AI is seeking a Data Engineer to upgrade infrastructure, build next-generation data solutions, and contribute to AI agents and the Model Context Protocol (MCP), impacting global businesses.

You will collaborate with data scientists, design scalable data pipelines, and help deliver data products with quality, governance, and production readiness in a fast-paced financial services environment.

Qualifications

• Degree in Computer Science or Engineering related field.
• 2+ years of industry experience in Data Engineering and related practices.
• Proficient in Python for scripting and data processing.
• Experience with REST API development and scalable data pipelines.
• Strong SQL and NoSQL skills with data modeling.
• Experience building scalable ETL/ELT workflows for analytics.
• Experience converting varied data into usable formats.
• Strong collaboration, communication, and problem-solving abilities.

Responsibilities

• Collaborate with data engineers and data scientists to support data ingestion and analytics.
• Build data products from structured and unstructured data emphasizing quality and performance.
• Support Gen AI platform engineering, including prompt design and production integration.
• Contribute to production data pipelines, reusable frameworks, and distributed computing.
• Contribute to documentation, governance, and data management practices.
• Develop ETL frameworks to improve code quality and reliability.

Skills

Python

REST API

SQL

NoSQL

ETL

Data engineering

Cloud platforms

Data governance

Data quality

Communication skills

Education

Bachelor's degree in Computer Science or Engineering

Tools

AWS Sagemaker

S3

Snowflake

Airflow

Hadoop

JIRA

Confluence

Agile/Scrum

Java

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.

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 opportunity for all.