Find work in Canada.

325,769 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 25 days ago
Cloud & DevOps Specialist
Montrium Inc
Montreal, QC
Full-time
Reporting to the Head of IT Operations & Cloud, the Cloud & DevOps Specialist helps maintain, secure, automate, and improve Montrium’s Microsoft Azure environments. The role supports the…
Added 24 days ago
Senior Machine Learning Developer
BMO
Toronto, ON
Full-time
As a Senior Machine Learning Engineer, you will lead complex machine learning and AI initiatives from concept through implementation. Working closely with business stakeholders, product…
Added 27 days ago
Senior Data Engineer
RBC
Vancouver, BC
Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 27 days ago
Senior Data Engineer
RBC
Vancouver, BC
Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 24 days ago
Staff Data Platform Engineer - Snowflake
RBC
Toronto, ON
Full-time
Join RBC's Cloud Data Lake Platform (Snowflake) Engineering team as a Staff Data Platform Engineer, where you'll play a critical role in designing, building, and operating one of Canada's…
Added 17 days ago
Staff Data Engineer
RBC
Toronto, ON
Full-time
…business and clients. We are all in with Agile development, DevOps, Open Source, Software as a Service (SaaS) and modern tools and…
Added 6 months ago
Software Engineer I
Beanfield Technologies Inc.
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
We are seeking a motivated Software Engineer to join our technology team. This role focuses on designing, developing, and enhancing backend systems, APIs, and data processing tools using…
Added 23 days ago
Staff ML Engineer
Royal Bank of Canada
Toronto, ON
Full-time
…business and clients. We are all in with Agile development, DevOps, Open Source, Software as a Service (SaaS) and modern tools and…
Added 23 days ago
Lead Agentic AI Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
$98,000 to $138,000 CAD / year
Full-time
…financial future for the healthcare community. As a Lead Agentic AI Engineer, you will work directly with engineers, architects, security, governance, and business partners to find…
Added 23 days ago
Senior DevOps Engineer
Samsung Electronics
Vancouver, BC
Full-time
We are looking for a Senior DevOps Engineer to join our Vancouver team.
Added 24 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Ottawa, ON
$96,557 to $128,743 CAD / year
Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 24 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Toronto, ON
$96,557 to $128,743 CAD / year
Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 24 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Calgary, AB
$96,557 to $128,743 CAD / year
Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 24 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Halifax, NS
$96,557 to $128,743 CAD / year
Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 23 days ago
Senior Quality Assurance Engineer
BCAA
*Head Office
Full-time
As a Senior QA Engineer, you will play a key role in ensuring the stability, performance and quality of applications and systems that support Evo Car Share, Evolve Bike Share, Auto Service…
Added 22 days ago
QA Engineer III
Zafin
Toronto, ON
The QA Engineer III will be responsible for leading and executing functional quality assurance activities for complex banking and financial applications. The role requires strong hands-on…
Added 22 days ago
Sr. DevOps Engineer
Borrowell
Remote, Canada
$100,000 to $150,000 CAD / year
Full-time · Remote
We are seeking a Senior DevOps Engineer to design, automate, and manage the mission-critical cloud infrastructure supporting our marketplace. As a key member of our DevOps team, you will…
Added 23 days ago
Principal Development Architect
SAP
Montreal, QC
The AI Development Architect will work closely with our customers, product managers, data scientists, developers, User experience designers and enterprise architects to translate business…
Added 22 days ago
Intermediate Software Developer
March Networks
Remote, Canada
Full-time · Remote
o 3–5 years of experience in Developer Experience, DevOps, cloud infrastructure, or related roles.
Added 23 days ago
Senior Data Engineer / Ingénieur(e) de données senior
Flinks
Remote, Canada
Full-time · Remote
We're hiring our Senior Data Engineer (Data / ML Platform) to stand up data engineering as a discipline at Flinks. You'll own the data and ML platform that turns models into reliable…
Added 23 days ago
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 23 days ago
Software Engineer II
Planview Incorporated
Vancouver, BC
…portfolio and resource management, Lean and Agile delivery, product portfolio management, capability, and technology management (enterprise architecture), innovation management, and…
Added 24 days ago
Software Engineer, Senior
Qualcomm
Toronto, ON
Full-time
Qualcomm is seeking a highly motivated software engineer with a strong interest in semiconductors and hardware to join its Software Infrastructure team. In this role, you will collaborate…
Added 24 days ago
Technical Staff Engineer-Firmware
Microchip Technology Inc.
Burnaby, BC · Canada - Burnaby
Full-time
We are seeking a self‑motivated and energetic engineer to join our firmware and software team. In this role, you will contribute to the design, development, unit testing, and verification…
Added 24 days ago
Staff Engineer – Software Development, Architecture, Security & Governance
Royal Bank of Canada
Toronto, ON
Full-time
Collaborate with AI researchers, Software Architects, DevOps engineers, and product teams to translate AI capabilities into real-world applications, fostering a culture of experimentation…

RBC

Staff Data Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Sep 30, 2026
Posting language: English
Posted: Sep 10, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Description

What is the opportunity?

This is an opportunity to work at RBC Wealth Management Technology Data team with a group of technology professionals dedicated to delivering transformative ML solutions to Wealth business and clients. We are all in with Agile development, DevOps, Open Source, Software as a Service (SaaS) and modern tools and processes.

We are looking for an experienced and visionary Staff Data Engineer to spearhead advanced ML initiatives, lead end-to-end project delivery, manage and mentor a high-performing ML engineering team, and drive technical innovation across the Wealth Management data domain.

The ideal candidate will have:

End-to-End Production Software Development Expertise: A proven track record of designing, building, and deploying scalable production applications and APIs from conception through maintenance, with deep understanding of software architecture, performance optimization, and operational excellence
Data Product Development & Deployment Mastery: Demonstrated experience leading the full lifecycle of data-driven products - from ideation and development to deployment and optimization - with ability to translate business requirements into scalable data product solutions that drive measurable value
Advanced Machine Learning Integration Capabilities: Deep expertise in integrating Machine Learning models and GenAI solutions with WM data and business systems, with proven success in deploying ML-powered features to production environments
Strong Background in Technical Leadership: Experience managing and mentoring technical teams, providing technical direction, and fostering high-performing cultures of innovation and continuous improvement
Deep Understanding of Modern Data and Cloud Ecosystems: Proficiency in modern data stacks, cloud computing platforms (AWS/Azure), containerization, microservices architecture, and the ability to architect scalable solutions that meet enterprise requirements
Ability to Shape Strategy and Drive Innovation: Proven capability to define technical roadmaps, establish best practices, and lead cross-functional initiatives that align technical solutions with organizational business objectives and drive competitive advantage

You will play a pivotal role in building and scaling our ML capabilities while partnering with IT and business stakeholders to assess, research, and resolve critical business challenges through technology solutions.

What will you do?

Team Leadership & Mentorship

Manage and lead a team of ML engineers and data engineers, providing technical guidance, mentorship, and career development
Foster a high-performing culture of innovation, collaboration, and continuous learning
Conduct performance evaluations and provide constructive feedback to team members
Hire and build diverse, talented teams aligned with organizational goals

Technical Strategy & Direction

Own end-to-end ML project delivery, from conception through production deployment and optimization
Define and communicate technical roadmap and architecture for ML initiatives aligned with business objectives
Provide technical direction and set standards for ML development practices, code quality, and MLOps
Make critical technical decisions that balance innovation, scalability, and risk management
Partner with architects, product managers, and business leaders to evaluate use cases and align ML initiatives with company goals

Production-Level Software Development

Design, build, and deploy scalable, production-grade applications and APIs that integrate WM data with advanced capabilities
Establish best practices for code quality, testing, validation, monitoring, and continuous improvement
Oversee end-to-end software pipelines ensuring seamless integration with applications and data platforms
Collaborate with software engineers to ensure robust, maintainable, and well-documented code

Data Product Development and Deployment

Lead the development and deployment of data-driven products that deliver measurable business value to Wealth business and clients
Build comprehensive data pipelines and architectures that enable scalable product features
Establish monitoring and metrics systems to measure product performance against Service and Operational Level Agreements (SLAs)
Drive continuous optimization of data products based on performance metrics and user feedback

Cross-Functional Collaboration

Act as primary technical liaison with multiple RBC teams, stakeholders, executives, and third-party vendors
Collaborate with Agile teams, product owners, software engineers, and business stakeholders
Communicate complex ML concepts to non-technical audiences and translate business needs into technical solutions
Drive organizational alignment on ML priorities and technical capabilities

Continuous Learning & Innovation

Stay at the forefront of emerging ML technologies, cloud advancements, and industry best practices
Share knowledge with teams and drive adoption of new techniques to improve existing systems
Contribute to thought leadership within RBC and the broader ML community

What do you need to succeed?

Must Have

6+ years of experience building scalable production APIs/microservices (Python preferred), with 2+ years in leadership or mentorship
Expert-level proficiency in cloud platforms: AWS and/or Azure, with OpenShift containerization experience
Strong expertise in GenAI and Machine Learning service integrations.
Proficiency in data engineering: data cataloging, schema management, data quality, data lineage, data governance, ELT/ETL pipelines, and data streaming.
Excellent business communication skills - able to explain complex technical concepts to non-technical stakeholders and vice versa.
Experience collaborating with architects to brainstorm and design solutions that meet business requirements.
Production-Level Software Development Experience: Proven track record of shipping and maintaining high-volume production applications.
API-First Mindset: Strong emphasis on designing and developing robust, scalable APIs and data pipelines.
Business Acumen & Cross-Functional Leadership: Ability to understand design requirements and lead technical initiatives across multiple teams, aligning business goals with technical solutions.
Learning Agility: Staying current with emerging data engineering technologies, especially in GenAI and ML.

Nice to Have

Understanding of IT Standards, Methodologies, CMM & audit requirements
Financial institution and Wealth Management domain knowledge
Advanced ML techniques (NLP, deep learning, reinforcement learning)
Knowledge of modern data platforms and architectures (data lakes, data warehouses, streaming platforms)
Experience with Agile and Scrum methodologies

What’s in it for you?

A comprehensive Total Rewards Program including bonuses, flexible benefits, and competitive compensation
Leaders who support your development and growth through coaching and strategic opportunities
The ability to make a significant, lasting impact on RBC’s ML strategy and technical capabilities
Work in a dynamic, collaborative, progressive, and high-performing team
A world-class training program in financial services
Opportunities to lead challenging, high-visibility projects
Opportunities to take on progressively greater responsibilities and strategic influence
Access to a variety of career advancement opportunities across RBC’s business units and geographies

#TECHPJ

Job Skills

Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages

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:

2026-08-07

Application Deadline:

2026-09-30

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.

Apply About employer

More about this job

Responsibilities

The Staff ML Engineer will lead the end-to-end delivery of machine learning initiatives and manage a high-performing team of engineers. They will also define technical roadmaps and collaborate with business stakeholders to integrate scalable ML solutions into the Wealth Management data domain.

Requirements

Candidates must have over 6 years of experience in production software development and at least 2 years in a leadership role. Proficiency in cloud platforms like AWS or Azure, along with expertise in GenAI and data engineering, is required.

Skills

Machine Learning
Data Engineering
Python
AWS
Azure
OpenShift
GenAI
Microservices
API Development
Data Governance
ETL Pipelines
Cloud Computing
Technical Leadership
Agile
Software Architecture
Data Modeling

Benefits

Bonuses
Flexible benefits
Competitive compensation
Training program
Career advancement opportunities

Visa sponsorship

Not detected in the job text

Keywords

Staff ML Engineer
Machine Learning
Data Engineering
Python
AWS
Azure
OpenShift
GenAI
Microservices
API
Data Governance
ETL
ELT
Data Streaming
Cloud Computing
Agile
Scrum
Wealth Management
Software Architecture
MLOps
Data Pipeline
Data Quality
Data Lineage
NLP
Deep Learning
Reinforcement Learning
Data Lake
Data Warehouse
Technical Leadership
Mentorship

Report this job