Data Engineer

Job Description

What is the opportunity?Working within Wealth Management Global IT Data Services Canada - you will be our Senior Software Engineer, specializing in AI-driven agent development using Python, SQL, and Snowflake technologies. You will leverage modern development tools including Copilot and Windsurf to build intelligent, scalable solutions. You will join a very dynamic team that is highly technical and has a great track record of delivering multiple innovative AI-powered solutions within the organization.

This is a hands-on technical role, very independent with an opportunity for growth.
What will you do?

Design and develop AI-based agents and intelligent automation solutions using Python and copilot-assisted development

Build and optimize data pipelines and analytics solutions leveraging Snowflake and SQL

Contribute to successful solution development and delivery by identifying risks and developing/recommending mitigation strategies

Participate in code reviews and technical design reviews of all AI agent architectures, specifications, and implementation plans

Collaborate with data engineering and infrastructure teams to optimize Snowflake queries and database performance

Assist Dev Ops/support teams in troubleshooting production issues and performance optimization

Mentor team members on Python best practices, AI agent development, and Snowflake optimization techniques

What do you need to succeed?
Must-have

Strong experience with Python development (5-7 years) and modern frameworks

Hands-on expertise with Snowflake data warehouse and SQL query optimization

Proven experience developing AI-based agents and intelligent automation solutions

Proficiency with Copilot and Windsurf development environments

Experience with REST APIs and modern integration patterns

Strong SQL skills including complex queries, stored procedures, and performance tuning

Experience with containerization (Docker, Kubernetes) and Dev Ops practices

Proficiency with version control (Git) and CI/CD pipelines

Experience in both Agile and Waterfall environments

Nice-to-have

Experience with machine learning frameworks and LLM integration

Prior experience managing or mentoring small teams

Exposure to enterprise data governance and data quality tools

Experience with cloud platforms and infrastructure automation

Hands-on experience with IBM Data Stage and ETL tools

Job Skills
Active Learning, Agile Methodology, AI Prompting, Application Integrations, Detail-Oriented, Dev Ops Tools, Enterprise Application Delivery, ETL Tools, Git Hub, Git Hub Actions, Group Problem Solving, Java (Programming Language), Programming Languages, Python (Programming Language), Snowflake GenAI, Software Development Life Cycle (SDLC), Structured Query Language (SQL)
Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST 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:

Final date to receive applications:

Note: Applications will be accepted until 11:59 PM on the day prior to the Final date to receive applications 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.

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