IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Oct 3, 2026

Hiring at a glance

View jobs

Open jobs: 2,547
Employers: 1,315

Advertised starting pay

Average starting payCAD / year: $97,273Across 252 listings
Average starting payCAD / hour: $50.45Across 81 listings
Average starting payUSD / year: $117,865Across 51 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 5%129 listings
Hybrid: 40%1,009 listings
On-site: 55%1,401 listings

Not specified: <1% (8 listings)

Employers hiring include TD (40), J&M Group (39), Amazon (35).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

IT & data jobs in Canada

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Added 20 days ago
A
Software Development Manager, Amazon
Amazon
Vancouver, BC
- Full-time
Added 14 days ago
MH
Network Security Analyst – ICAT Infrastructure
Mackenzie Health
Vaughan, ON
- $51.04 to $60.61 CAD / hour
- Full-time
Added 15 days ago
OS
Senior Data Scientist
Ontario Securities Commission
Toronto, ON · CA ON Toronto
- Full-time
Added 14 days ago
CN
Enterprise Data Analyst/Modeler
Canadian Natural Resources Limited (CNRL)
Calgary, AB
- Full-time
The Enterprise Data & Analytics team is seeking a highly skilled Enterprise Data Analyst to help advance the organization's data management and governance capabilities. This role applies…
Added 14 days ago
W
Machine Learning Scientist II - Marketing Optimization
Wayfair
Toronto, ON
- $168,960 to $188,776.5 CAD / year
- Full-time
Added 15 days ago
LI
Data Engineer
Loopio Inc.
Remote, Canada
- $103,500 to $140,000 CAD / year
- Full-time
- Remote
Loopio’s Data Engineering Team works together on a mission to transform the RFP response process into a rapid and seamless experience. Our team works across all platform portfolio features…
Added 14 days ago
MR
System Administrator/ SCCM
Motion Recruitment
Toronto, ON · Etobicoke, ON
- $87,000 to $110,000 USD / year
- Full-time
Added 14 days ago
Enterprise Data Analyst
Canadian Natural
Calgary, AB
The Enterprise Data & Analytics team is seeking a highly skilled Enterprise Data Analyst to help advance the organization's data management and governance capabilities. This role applies…
Added 15 days ago
TB
IT Support Specialist
Tech-Wood Building Components Ltd
Calgary, AB
- Full-time
Added 14 days ago
PA
Help Desk Analyst
PROVINCIAL AEROSPACE LTD
St. John's, NL
- Full-time
Added 15 days ago
B
Data Scientist
BMO
Toronto, ON · FCP
- Full-time
…mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data…
Added 15 days ago
B
Machine Learning Engineer
BMO
Toronto, ON · FCP
- Full-time
…learning and making predictions to business requirements. Enhances data pipelines and lakes to ensure data is clean, accurate, and optimized for machine learning models. Monitors,…
Added 15 days ago
L
Business Data Analyst
LawDepot
Remote, Canada
- Full-time
- Remote
As a Business Data Analyst, you will partner with Product Owners to design experiments, analyze customer behaviour, and turn complex data into clear, actionable recommendations. Your work…
Added 14 days ago
H
Principal Data Architect
Hays
Toronto, ON
- Contract
…lead the design and implementation of scalable cloud-native data and integration solutions on the Azure platform. The ideal candidate will possess deep expertise in Azure Databricks, ADLS,…
Added 14 days ago
L
Senior Data Analyst
Luxoft
Mississauga, ON
- Full-time
…for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform…
Added 14 days ago
Data Engineer II (Restaurant AI CoPilot)
OpenTable
Toronto, ON
Added 15 days ago
JP
Data Engineer
Jim Peplinski Capital
Calgary, AB
- Full-time
…the modern model of fleet management, one that starts with data as the catalyst for smarter fleets, optimized assets, and more resilient…
Added 15 days ago
C
ETL Data Engineer - Assistant Vice President
Citi
Mississauga, ON
- Full-time
The ETL Data Engineer is responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team.…
Added 14 days ago
NB
Senior Data Scientist Production and Reporting Lead
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in National Bank’s IFRS-9 and Credit Risk Analytics team, you will be responsible for IFRS-9 reporting, risk analytics, process development, and risk data…
Added 14 days ago
IG
Database Administrator
Insight Global
Canada
- Contract
We are seeking a meticulous Data Analyst (Data Quality & Integration) to oversee our data ingestion pipeline. Your primary responsibility will be loading data extracts into our existing…
Added 14 days ago
V
Ingénieur(e) de données principal(e) | Senior Data Engineer
ValPay
Montreal, QC · Saint-Laurent, QC
- Full-time
Added 15 days ago
Senior Information Security Analyst
Scotiabank
Toronto, ON
Added 14 days ago
AG
Intelligence Mission Data Systems Analyst
ADGA Group Consultants Inc
Ottawa, ON
- $125,000 to $140,000 CAD / year
- Full-time
Added 14 days ago
G
Information Security Analyst
Glocomms
Montreal, QC
- Full-time
Added 14 days ago
AG
Intelligence Mission Data Systems Analyst
ADGA Group
Ottawa, ON
- $125,000 to $140,000 CAD / year
- Full-time

RBC

Staff Data Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 14, 2026
Experience: 7+ years of experience in data engineering with at least 5 years of hands-on experience in system integration, data and cloud architecture, and technologies listed below:
Posting language: English
Posted: Sep 16, 2026

Original job description

Job Description

What is the opportunity?

As Lead Data Engineer in Investor & Treasury Services Data Engineering team within Technology and operations office, you will design, implement, and support enterprise data architecture best practices and processes across the global Investor and Treasury Services organization, aligning with corporate vision. We seek a strategic thinker and passionate data management leader to drive data strategy execution, including Azure Databricks infrastructure management , Power BI optimization, analytics administration, workspace governance, and reporting infrastructure to enable self-service analytics at scale.

As a member of a dynamic, fast-paced team, this role demands strong data architecture and engineering expertise, advanced analytics platform leadership, exceptional communication skills, strong work ethic, and demonstrated ability to multitask effectively in changing environments.

What Will You Do?

This role encompasses end-to-end system oversight from data sourcing, lineage, transformation, and storage through Azure Databricks governance and Power BI analytics optimization to support complex advanced analytics and data governance needs, requiring extensive collaboration with Business Architecture, System Architecture, Business SMEs, and Data Stewards.

Build real-time data pipelines (inbound, outbound) through container-based solutions and Azure Databricks
Integrate data with cloud-based platforms; publish data through APIs and Portal
Manage Azure Databricks clusters, compute resources, and workspace optimization for scalable data processing
Optimize Power BI reporting infrastructure, semantic models, and dashboard performance across the organization
Establish Power BI administration best practices, workspace governance frameworks, and user access management
Manage analytics workspaces, capacity planning, and optimization to support enterprise self-service analytics
Participate in data curation requirements; support data and digital needs of business and technology stakeholders
Evaluate current state of data access control (authentication, authorization, encryption) across I&TS systems; develop and support remediation strategies
Work in agile teams with Data Engineers, Developers, and RBC business stakeholders
Collaborate with data scientists, process engineers, and business stakeholders on requirement gathering; assist with prescriptive and predictive analytics through consolidated data pipelines leveraging Azure Databricks

What you need to succeed

Must Have:

7+ years of experience in data engineering with at least 5 years of hands-on experience in system integration, data and cloud architecture, and technologies listed below:
- Data Engineering: Python, Kafka, MS SQL Server, Elasticsearch stack, Azure Databricks
- Cloud and Containers: Azure (ADLS2, Azure Databricks), OpenShift, Docker
- SQL/Database: Microsoft SQL Server, Azure SQL, Stored procedures
- API: Node.JS, Apigee
- Power BI & Analytics: Power BI (report development, semantic modeling, workspace administration, capacity management), DAX, Power Query
- Security frameworks: LDAP, Kerberos, OAuth 2.0, Vault integration
Strong knowledge of algorithms and data structures
Demonstrated experience with Azure Databricks cluster management, Delta Lake, and Spark optimization

Nice to Have:

Master's degree in Computer Science or equivalent experience
Automation/DevOps: Jenkins, Selenium, and similar technologies
Source code control: GIT
Experience working in agile/SaFe environment
Advanced Power BI certifications (Microsoft Certified: Data Analyst Associate or similar)

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

#TECHPJ

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

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:

2026-08-24

Application Deadline:

2026-10-14

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.

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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

You will design, implement, and support enterprise data architecture and infrastructure using Azure Databricks and Power BI to enable self-service analytics. The role involves managing data pipelines, optimizing reporting performance, and collaborating with stakeholders to drive data strategy execution.

Requirements

Candidates must have 7+ years of experience in data engineering with at least 5 years of hands-on experience in system integration and cloud architecture. Proficiency in Python, Azure Databricks, SQL, and Power BI is required, along with strong knowledge of data structures and security frameworks.

Skills

Azure Databricks
Power BI
Python
Kafka
MS SQL Server
Elasticsearch
OpenShift
Docker
Node.js
Apigee
DAX
Power Query
Data Engineering
Cloud Architecture
System Integration
Data Governance

Benefits

Total Rewards Program
Bonuses
Flexible benefits
Competitive compensation
Stock options
Flexible work/life balance options
World-class training program

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Azure Databricks
Power BI
Cloud Architecture
Python
Kafka
MS SQL Server
Elasticsearch
OpenShift
Docker
Node.js
Apigee
DAX
Power Query
Data Governance
Delta Lake
Spark
Agile
SaFe
Jenkins
Selenium
Git
API
System Integration
Data Pipelines
Analytics
Data Curation
Security Frameworks
Capacity Planning
Financial Services

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