Find work in Canada.

318,776 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 4 mins ago
Senior AML IT Developer
TD
Toronto, ON
Full-time
This role will be responsible for the design, implementation, and integration of tools and technologies used across the Compliance, Surveillance, and Supervision domain. The successful…
Added 4 mins ago
Systems Designer - Ingénieur/développeur systèmes
Grantek
Montreal, QC
Full-time
…Solution design, MES design, ERP connector development, High-level software solution design (involving C#, HTML5, .NET, SQL, VB, VBA, and more). All junior team members will enter our…
Added 4 mins ago
Senior Software Engineer
SALT XC
Toronto, ON
Join us as a Senior Software Engineer building the next generation of AI products. This is a hands-on senior software development role: you'll spend roughly 80% of your time designing,…
Added 4 mins ago
IT Programmer (SQL/Business Intelligence) / Developer (SQL,BI, Data) / Data Engineer
Sofina Foods Inc
Markham, ON · ON
…(SQL/BI) is instrumental in developing the BI and reporting systems and upgrading Sofina's data environment for relevance and modernization. This role contributes to shaping Sofina’s data…
Added 33 mins ago
JAMS Platform Engineer
Pacer Group
Toronto, ON
$60 to $70 CAD / hour
Contract
Strong knowledge of REST APIs, systems integration, and SQL Server/database troubleshooting.
Added 33 mins ago
Senior Instrumentation Technologist/Engineer
Cornerstone Engineering Ltd.
Calgary, AB
Full-time
Develop and review instrumentation design specs, drawings, and schematics for project components such as control systems, instrumentation loops, field devices, and safety systems, ensuring…
Added 33 mins ago
Senior Java Low Latency Developer with experience in Payments and Trading Platforms
K&K Global Talent Solutions INC.
Mississauga, ON
Full-time
…Access (DMA) platforms. This role is ideal for a highly skilled engineer with a strong background in low-latency trading systems, financial markets technology, and modern Java…
Added 33 mins ago
Senior Java Low Latency Developer
K&K Global Talent Solutions INC.
Mississauga, ON
Full-time
…Access (DMA) platforms. This role is ideal for a highly skilled engineer with a strong background in low-latency trading systems, financial markets technology, and modern Java…
Added 34 mins ago
Process & Project Engineer - Warehouse & Distribution (BDL)
Brewers Retail Inc
Calgary, AB
Experience with MES, process control systems, automation integration, and CRN registration for pressure equipment is preferred
Added 1 hour ago
DevSecOps Specialist
Procom
Toronto, ON
Contract
Experience as Integration Engineer in various SDLC stages
Added 1 hour ago
Senior Data Implementation Engineer
Odaia Intelligence Inc.
Toronto, ON
Full-time
Reducing patients' time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.
Added 1 hour ago
Full Stack Software Engineer
Manulife
Halifax, NS · Waterloo, ON
Full-time
Minimum of 5+ years of experience as a Full Stack Software Engineer
Added 2 hours ago
Machine Learning Engineer
AgileGrid Solutions
Canada
Full-time
We are seeking a talented Machine Learning Engineer to join the Qualcomm AI Processor Solutions team. In this role, you will be instrumental in developing next-generation AI applications…
Added 2 hours ago
Staff Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
Full-time
We are hiring a Staff Software Engineer to set technical direction across multiple engineering teams in the HCM charter. This is a charter-wide role. You will not be measured by the…
Added 2 hours ago
Mechanical Engineering Engineer
O-HIVE.AI
Windsor, ON
Full-time
We are seeking a hands-on Mechanical Engineer to support the design, prototyping, integration, and deployment of intelligent robotic and machine-vision systems.
Added 2 hours ago
IBM FTM Engineer
Zodiac Solutions, Inc
Toronto, ON
Full-time
Build and support integrations between FTM and upstream/downstream systems using enterprise integration patterns.
Added 2 hours ago
Embedded Software Engineer
Insight Global
Montreal, QC · Greater Montreal Metropolitan Area
$65 to $85 CAD / hour
Contract
…engineering team responsible for the architecture, development, integration, and maintenance of low-level embedded software supporting advanced space technologies, including satellite…
Added 2 hours ago
Project Manager - Markham, ON (Onsite)
Tenth Revolution Group
Markham, ON
$70,000 to $95,000 CAD / year
Full-time
Project Manager – Engineering & Software Integration
Added 2 hours ago
Principal CRM Developer
Condominium Authority of Ontario
Toronto, ON
Full-time
Reporting to the VP, Technology & Application Development, the Principal CRM Developer is the senior hands-on engineer for the technology that powers the CAO's digital services, the…
Added 2 hours ago
Python Full Stack Engineer - Professional
HEXAWARE
Canada
Full-time
…developing RESTful APIs and microservices, integrating backend systems with databases and external applications, writing clean and reusable code, troubleshooting production issues, and…
Added 2 hours ago
Robotics Engineer - Edge Runtime, Physical AI Hub, Kitchener
Siemens
Kitchener, ON
We are seeking a Robotics Engineer - Edge Runtime to help build and optimize the edge software layer for the Physical AI Runtime. This engineer will work on edge development, robotics…
Added 2 hours ago
Quality Assurance Engineer - Physical AI hub, Kitchener
Siemens
Kitchener, ON
3+ years of strong experience building automated tests for complex software systems, including API, integration, system, and end-to-end test layers.
Added 2 hours ago
Senior Agentic AI Engineer- Physical AI hub, Kitchener
Siemens
Kitchener, ON
This role is primarily software focused, with regular collaboration around real robot-cell data, traces, perception evidence, and integration tests.
Added 2 hours ago
Robotics Engineer, Teleoperation and Data Collection - Physical AI Hub, Kitchener
Siemens
Kitchener, ON
Partner with Perception, ML Systems, QA, and Robotics Integration engineers on evaluation corpora and failure analysis.
Added 2 hours ago
Machine Learning Systems and Infrastructure Developer
Siemens
Kitchener, ON
We are seeking a Machine Learning Systems and Infrastructure Developer to build the training infrastructure and model rollout layer for Physical AI. This developer will provision and…

RBC

Staff Data Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Nov 6, 2026
Experience: 5+ years of professional experience in data engineering or related roles
Posting language: English
Posted: Oct 1, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Description

What is the opportunity?

RBC Wealth Management (WM) Data & AI is responsible for driving data driven decision making end-to-end across our global businesses. We're modernizing our data architecture, building out BI and analytics capabilities, and developing cutting-edge AI/ML solutions - from traditional machine learning to Generative AI - to support our Global Executive Leadership as well as our Digital and Global Investment teams.

What will you do?

Architect, establish, maintain, and evolve the data foundation and analytical environments that support BI/analytics workloads and downstream AI/ML consumers with high performance and reliability

Design, build, and maintain scalable, production-grade data pipelines that ingest, transform, and serve both structured and unstructured data across WM LoBs
Design data models and schemas that serve multiple consumer types - BI dashboards, reporting, and downstream ML pipelines - balancing performance, flexibility, and reusability
Build and maintain APIs and integrations that expose data to downstream consumers, including AI/ML systems and business workflows
Define clean data contracts and interfaces with downstream AI/ML and BI teams - schemas, SLAs, and freshness guarantees - to ensure reliable handoffs
Implement monitoring, logging, and observability for data pipelines to ensure reliability, performance, and compliance
Optimize pipeline and storage performance and cost (e.g., query tuning, partitioning, compute/storage cost management) across Dev, UAT, and Production environments
Create, maintain, and develop data assets across Dev, UAT, and Production environments, ensuring consistency
Identify, source, stage, and model improvements to partially/completely automate the most common, repeatable and tedious manual data preparation and integration tasks, and optimize data delivery for greater scalability, as part of the end-to-end data lifecycle
Implement data quality frameworks, automated testing, and monitoring to ensure data integrity and trust across all downstream consumers
Support data cataloging and metadata management practices to ensure data assets are discoverable, well-documented, and governed
Support DevOps and DataOps best practices, including CI/CD, infrastructure-as-code, and automated testing across data pipelines
Use version control systems (e.g., GitHub) and data/schema comparison tooling to manage code and data changes safely across environments

What do you need to succeed?

Must-have

Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related technical field
5+ years of professional experience in data engineering or related roles
Strong programming skills in Python and SQL, with hands-on experience building and optimizing APIs and data pipelines at scale
Deep experience with modern data platforms and tools such as Databricks, Snowflake, Spark, and cloud-native data services (AWS, Azure, or GCP)
Solid understanding of data warehousing, data lakehouse architectures, and data modelling concepts - and when to apply each
Knowledge of and experience implementing medallion (bronze/silver/gold) architecture patterns for structuring data lakehouse layers
Experience designing data models and pipelines that serve multiple consumer types (e.g., BI/reporting and downstream ML use cases)
Proficiency with DevOps/DataOps practices and CI/CD tooling (e.g., GitHub Actions, Jenkins, Azure DevOps) for data pipelines
Experience with automated unit testing methodologies for data pipelines and transformations
Strong experience with data governance, data quality, and data security best practices
Passion for problem-solving and tackling challenges in real-world contexts, leveraging large-scale datasets and modern data approaches

Nice-to-have

Familiarity with Generative AI workflows, including RAG pipelines, vector databases, and LLM serving infrastructure
Knowledge of streaming data technologies (e.g., Kafka, Kinesis, or Spark Streaming)
Experience with infrastructure-as-code tools such as Terraform or CloudFormation
Knowledge of financial services, wealth management, or investment management domains
Experience building or enabling AI-driven automation such as AI agents, workflow orchestration, or decision engines
Experience with data cataloging/metadata management tools (e.g., Unity Catalog, Collibra)

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
Flexible work/life balance options
Opportunities to do challenging work
Opportunities to take on progressively greater accountabilities
Access to a variety of job opportunities across business

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Quality Management, Requirements Analysis, Waterfall Model

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:

WEALTH MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-03-26

Application Deadline:

2026-11-06

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 Data Engineer will architect and maintain scalable data pipelines and analytical environments to support BI, analytics, and AI/ML workloads. They will also implement data quality frameworks, ensure data governance, and optimize pipeline performance across development and production environments.

Requirements

Candidates must have a bachelor's degree in a technical field and at least 5 years of professional experience in data engineering. Proficiency in Python, SQL, and modern cloud-native data platforms like Databricks or Snowflake is required.

Skills

Python
SQL
Data Engineering
Databricks
Snowflake
Spark
AWS
Azure
GCP
Data Warehousing
Data Lakehouse
CI/CD
DevOps
Data Governance
Data Quality
API Development

Benefits

Bonuses
Flexible benefits
Competitive compensation
Commissions
Stock options
Flexible work-life balance

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
SQL
Databricks
Snowflake
Spark
AWS
Azure
GCP
Data Lakehouse
Medallion Architecture
CI/CD
DevOps
DataOps
Data Governance
Data Quality
API
Generative AI
RAG
Vector Databases
Kafka
Terraform
Unity Catalog
Collibra
Machine Learning
BI
Analytics
Data Modeling
Infrastructure-as-code
Wealth Management

Report this job