IT & data jobs in Canada

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

Counted Oct 26, 2026

Hiring at a glance

View jobs

Open jobs: 4,000
Employers: 1,847

Advertised starting pay

Average starting payCAD / year: $96,329Across 354 listings
Average starting payCAD / hour: $49.26Across 266 listings
Average starting payUSD / year: $121,559Across 58 listings
Average starting payUSD / hour: $45.33Across 15 listings

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

Where work happens

Remote: 4%178 listings
Hybrid: 38%1,528 listings
On-site: 57%2,281 listings

Not specified: <1% (13 listings)

Employers hiring include TD (69), J&M Group (45), S M Software Solutions Inc (45).

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 24 days ago
I
Principal Data Scientist, Product Data & Analytics
Intuit
Toronto, ON
- Full-time
…growth engine as we scale a truly global platform. Product Data Science sits at the center of that growth, translating market-specific customer behavior into the models, experiments, and…
Added 25 days ago
Business Systems Analyst
McCoy Corp
Edmonton, AB
Added 25 days ago
ScotiaMcLeod Branch Systems Administrator
Scotiabank
Edmonton, AB
Added 25 days ago
T
Business Systems Analyst III
TD
Toronto, ON
- Full-time
Added 25 days ago
Data Analyst, Principal
Dayforce
Canada
Added 25 days ago
J
Junior Cyber Security Analyst
JSI
Ottawa, ON
- Full-time
Added 25 days ago
G
Business Systems Analyst – FNZ
Genpact
Toronto, ON
- Full-time
Added 25 days ago
P&
Scientifique des données, chaîne d’approvisionnement / Supply Chain Data Scientist
Pratt & Whitney
Longueuil, QC
- Full-time
Added 25 days ago
L
QA Laboratory Systems Analyst
LCBO
Toronto, ON
- Full-time
Added 25 days ago
F
Cybersecurity Analyst / Analyste en cybersécurité
FENCECORE
Montreal, QC
- Full-time
Added 25 days ago
IG
Network Technician
Insight Global
Mackenzie, BC
- Contract
Added 25 days ago
IC
HR Data Scientist, Data Eng.
IT Connex
Toronto, ON · Greater Toronto Area, Canada
- Contract
Our client is looking for a Senior Data Scientist to join its HR Data Science team and turn complex workforce data into clear, actionable intelligence that shapes people strategies at a…
Added 25 days ago
M
business system analyst/data analyst
MethodHub
Toronto, ON
- Contract
Working with the Project teams, business stakeholders, technical SMEs, , Data Insights on a growing portfolio of interactive dashboards across many product teams
Added 25 days ago
L
Technical Support Engineer
Luxoft
Toronto, ON
- Full-time
Added 25 days ago
AI COE - Senior Data Scientist
EY
Toronto, ON
As a Senior Data Scientist, you will be an integral part of the AI Centre of Excellence (COE) within the Office of the Chief Technology Officer at EY Canada. Reporting to the Lead Data…
Added 25 days ago
R
Scientifique des données, chaîne d’approvisionnement / Supply Chain Data Scientist
RTX
Longueuil, QC
- Full-time
Added 25 days ago
Data Analyst, Go-To-Market Sales Insights
Lyft
Toronto, ON
Data is at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to build the tools and analytics that drive revenue for the sales organization…
Added 25 days ago
Scheduling Systems Administrator
March of Dimes Canada
Toronto, ON
Added 25 days ago
Scheduling Systems Administrator
March of Dimes Canada
Toronto, ON
Added 25 days ago
YU
Business Systems Analyst
York University
Toronto, ON
- Full-time
Added 25 days ago
Technical Business Analyst (xVA Technology)
Scotiabank
Toronto, ON
Added 25 days ago
M
Senior Data Analyst I, Product
Mistplay
Montreal, QC
- Full-time
Added 25 days ago
A
Information Technology - Senior / Solution Systems Analyst, Product Business Technology
Aritzia
Vancouver, BC
- Full-time
Added 25 days ago
F
Data Scientist, Risk Modeling & Analytics
Financeit
Remote, Canada
- Full-time
- Remote
Added 25 days ago
O
Principal Machine Learning Engineer, SecureAI
Okta
Toronto, ON
- $192,000 to $264,000 CAD / year
- Full-time

Global X Canada

Azure Data Engineer (Automation & Integration)

Toronto, ON, Canada

$85,000 to $100,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $85,000 to $100,000 CAD / year
Job type: Full-time
Apply by: Oct 31, 2026
Posting language: English
Posted: Oct 1, 2026

Original job description

Job Overview

Global X Investments Canada Inc. is seeking an Azure Data Engineer to help build, support and automate our Azure-based data infrastructure. Reporting to the SVP, Digital Innovation & Data Analytics, and working alongside our Senior Azure Data Engineer, this role shares responsibility for the ETL pipelines and data feeds that our business applications depend on, and takes ownership of the automation built on that data, including reconciliation checks, document automation and scheduled workflows.

The ideal candidate is comfortable supporting production data processes, documents their work clearly, and is interested in contributing to light application development and AI-enabled tools that use our data.

About Us

Global X Investments Canada Inc. ("Global X") is an innovative financial services company that offers one of the largest suites of exchange traded funds in Canada. The Global X Fund family includes a broadly diversified range of solutions for investors of all experience levels to meet their investment objectives in a variety of market conditions. Global X currently has more than $55 billion of assets under management and over 160 ETFs listed on major Canadian stock exchanges. Global X is a wholly-owned subsidiary of the Mirae Asset Financial Group, which manages more than $1 trillion of assets across 21 countries and global markets around the world.

Key Responsibilities

Support the Senior Azure Data Engineer across the data platform, taking on development, maintenance and operational tasks, and serving as backup coverage when they are unavailable.
Build, maintain and monitor Azure Data Factory (ADF) pipelines for ETL, transformation and data movement.
Share support of production data flows, including investigating failed loads, late feeds and data quality issues.
Own downstream automation, including reconciliation checks against third-party data sources, document automation and scheduled workflows.
Automate workflows using Azure Functions, Logic Apps and Power Automate.
Build and maintain the views, stored procedures and APIs that our internal web application, dashboards and AI tools read from.
Implement monitoring, logging and alerting with Azure Monitor, Log Analytics and Application Insights.
Maintain documentation and runbooks so data processes can be supported by more than one person.
Contribute to light application development where it touches data, such as Function Apps and backend endpoints.

Preferred Skill Set

Hands-on experience with Azure Data Factory, Azure SQL, Function Apps and Logic Apps.
Strong proficiency in SQL and Python; PowerShell is an asset.
Understanding of data modeling, data warehousing and modern analytics architectures (normalized and dimensional models, Lakehouse, medallion).
Experience optimizing SQL and data structures for analytics and application workloads.
Experience integrating data platforms with BI tools such as Power BI, Tableau or similar platforms.
Experience with Power Automate and integrating with enterprise platforms (Salesforce, SharePoint, Microsoft Graph).
Familiarity with Azure DevOps or GitHub CI/CD pipelines for data projects.
Understanding of cloud security practices, including Key Vault and managed identities.
(Preferred) Exposure to Microsoft Fabric, or to providing data access for AI and LLM-based tools.

Skills & Experience

3–5 years in data engineering, automation or cloud development roles.
2+ years working hands-on with Azure data services (ADF, Azure SQL, Functions).
Experience supporting production data pipelines, including troubleshooting and root-cause analysis.
Demonstrated attention to data quality, validation and reconciliation.
Clear written communication and a habit of documenting as you build.
(Preferred) Experience in financial services or asset management, particularly fund, pricing or holdings data.

What We Offer

Competitive compensation and benefits package
A collaborative and supportive work environment
Incredible opportunities for professional development and growth
The opportunity to make a meaningful impact on the financial well-being of Canadian investors

This opportunity is for an existing vacancy within the organization. The anticipated annual base salary range for the Azure Data Engineer is $85,000 to $100,000. The exact salary depends on several factors such as experience, skills, education and budget.

Global X is an equal opportunity employer and is committed to providing a respectful, welcoming and accessible environment for all people. All employment decisions at Global X are based on business needs, job requirements and individual qualifications, without regard to sexual orientation, gender identity, race, religion, colour, age, marital status or disabilities. We welcome and encourage applications from people with disabilities. During the hiring process, for those job applicants selected for interviews, any required accommodation will be provided. If the successful candidate requires accommodations, an individual accommodation plan will be established, and the proper adjustments will be made to support them.

Apply About employer

More about this job

Responsibilities

Build, maintain, monitor, and troubleshoot Azure-based ETL pipelines and production data flows, while supporting the broader data platform and providing backup coverage. Own downstream workflow automation, data integrations, application-facing views and APIs, monitoring, and documentation.

Requirements

Candidates should have 3–5 years of experience in data engineering, automation, or cloud development, including at least 2 years working hands-on with Azure data services. Strong SQL and Python skills, production pipeline support experience, and attention to data quality and documentation are expected; financial services experience and exposure to Microsoft Fabric or AI tools are preferred.

Skills

Azure Data Factory
Azure SQL
Azure Functions
Logic Apps
Power Automate
SQL
Python
PowerShell
Data Modeling
Data Warehousing
ETL Pipelines
Data Quality And Reconciliation
Azure Monitor
Log Analytics
Application Insights
Azure DevOps

Benefits

Competitive Compensation
Benefits Package
Collaborative And Supportive Work Environment
Professional Development And Growth Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Azure Data Factory
Azure SQL
Azure Functions
Function Apps
Logic Apps
Power Automate
SQL
Python
PowerShell
ETL
Data Pipelines
Data Integration
Data Warehousing
Data Modeling
Lakehouse
Medallion Architecture
Power BI
Tableau
Salesforce
SharePoint
Microsoft Graph
Azure DevOps
GitHub CI/CD
Azure Key Vault
Managed Identities
Azure Monitor
Log Analytics
Application Insights
Microsoft Fabric
Financial Services

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