IT & data jobs in Canada

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

Counted Nov 4, 2026

Hiring at a glance

View jobs

Open jobs: 4,873
Employers: 2,077

Advertised starting pay

Average starting payCAD / year: $96,025Across 431 listings
Average starting payCAD / hour: $50.15Across 320 listings
Average starting payUSD / year: $120,437Across 60 listings
Average starting payUSD / hour: $48.16Across 19 listings

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

Where work happens

Remote: 4%200 listings
Hybrid: 38%1,862 listings
On-site: 57%2,797 listings

Not specified: <1% (14 listings)

Employers hiring include TD (84), S M Software Solutions Inc (64), J&M Group (50).

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 2 days ago
S
Technical Support Engineer
Sidetrade
Remote, Canada
- Full-time
- Remote
Added 2 days ago
SI
Cyber Security Analyst
Spait Infotech
Canada
- Full-time
Added 2 days ago
ZS
Business Systems Analyst
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Added 2 days ago
AS
Technical Project Manager – Microsoft Fabric
Ardent SoftSol Inc.
Brampton, ON
- Contract
10+ years in IT delivery, including 5+ years as a Technical PM on data or cloud platform programs
Added 2 days ago
H
PySpark Data Engineer
Hays
Montreal, QC · Greater Montreal Metropolitan Area
- Contract
You will join a leading global financial services organisation that is investing in a strategic Client Data Confidentiality and data-usage monitoring platform. This platform supports the…
Added 2 days ago
KG
Azure SQL Database Administrator
K&K Global Talent Solutions INC.
Montreal, QC
- Full-time
Added 2 days ago
Data Scientist, FX Quantitative Research
Stripe
Toronto, ON
Added 2 days ago
T
Business Systems Analyst III
TD
London, ON · Toronto, ON
- Full-time
Added 2 days ago
D
IT Support Specialist
dentalcorp
Toronto, ON · Support Centre - Toronto Office
- Full-time
Added 2 days ago
OI
Global IT Support Engineer
Orbis Investments
Burnaby, BC
- Full-time
Added 2 days ago
S
Technical Support Engineer
Sidetrade
Calgary, AB
- Full-time
Added 2 days ago
CS
Business Systems Analyst (Pricing & Promotions)
Cyber Space Technologies LLC
ON · Ontario, Canada
- Contract
Added 2 days ago
IG
Business System Analyst
Insight Global
Toronto, ON
- $60 to $80 CAD / hour
- Contract
Added 2 days ago
SI
Data Analyst
Spait Infotech
Canada
- Full-time
Collect, clean, validate, and organize data from multiple sources.
Added 2 days ago
NB
Chief Technical Support Analyst End-User IT
National Bank of Canada
Toronto, ON
- Full-time
Added 2 days ago
ZS
Hiring - Application Support Analyst – Front Office Technology at Mississauga, ON(Hybrid)
Zodiac Solutions, Inc
Mississauga, ON
- Full-time
Added 2 days ago
EC
Cloud Data Engineer
Experis Canada
Halifax, NS
- Contract
Job Title: Cloud Infrastructure Data Engineering Specialist
Added 2 days ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior Data scientist or Senior Data scientist in the modelling and risk strategies team at National Bank means acting as a specialist in credit risk management…
Added 2 days ago
OC
Global IT Support Engineer
Orbis Corporation
Vancouver, BC
- Full-time
Added 2 days ago
RI
IT Systems Administrator
Remarcable, Inc.
Vancouver, BC
- $91,000 to $119,000 CAD / year
- Full-time
Added 2 days ago
ET
Artificial Intelligence / Data Engineer Intern
Enabled Talent
Sudbury, ON · Greater Sudbury, ON
- Contract
Added 2 days ago
Y
Technical Project Manager – Microsoft Fabric
Yochana
Brampton, ON
- Full-time
10+ Years in IT delivery, including 5+ Years as a Technical PM on data or cloud platform programs
Added 2 days ago
ZS
Azure Data Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Hands-on experience with Microsoft Azure data services.
Added 2 days ago
SR
Data Scientist
Swim Recruiting
Vancouver, BC
- $100,000 to $150,000 CAD / year
- Full-time
Are you looking to apply your data science experience in a practical, production environment? Swim Recruiting is seeking a Data Scientist to drive the data operations behind one of the…
Added 2 days ago
CM
IT Support Specialist
CASA Mental Health
AB · Edmonton, AB
- Full-time

Hays

Data Engineer

Montreal, QC, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Dec 2, 2026
Experience: 3–5 years of experience in Data Engineering or Software Engineering.
Posting language: English
Posted: Nov 2, 2026

Original job description

Python / PySpark Data Engineer

Job Type: Contract (12 Months)

Location: Montreal, QC (Hybrid – 2 Days Onsite)

Team: Trading Data / Consumer Data Team

Reporting Manager: VP, Data Engineering

Language Requirement: English

Your New Company

Our client is a leading global financial services organization seeking a Python / PySpark Data Engineer to join a strategic data engineering team supporting client data confidentiality and enterprise data monitoring initiatives.

This team is responsible for building and enhancing a critical platform used for client data protection, data usage monitoring, regulatory reporting, and enterprise-wide data governance. The successful candidate will work within a global team of approximately 70 professionals located across Montreal, New York, and India.

Your New Role

As a Python / PySpark Data Engineer, you will play a key role in building scalable data pipelines, onboarding new data sources, and enhancing a strategic data monitoring platform used for client and regulatory reporting.

You will collaborate with data engineers, developers, and business stakeholders to ensure data is processed accurately, efficiently, and reliably while supporting business-critical initiatives across multiple asset classes and business functions.

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Python, PySpark, and Databricks.
Develop complex data transformation and processing solutions using SQL and Snowflake.
Build ingestion frameworks and transformation pipelines for multiple data sources, including operational databases, application telemetry, and user activity data.
Onboard new applications, databases, and datasets into the monitoring platform.
Implement data quality, reconciliation, validation, and monitoring controls.
Troubleshoot pipeline failures and optimize data processing performance.
Support regulatory, audit, and business reporting requirements through reliable data delivery.
Partner with engineers and stakeholders across Montreal and New York on strategic platform enhancements.
Contribute to platform scalability, maintainability, and operational excellence initiatives.

What You'll Need to Succeed

Required Qualifications

3–5 years of experience in Data Engineering or Software Engineering.
Strong hands-on development experience with Python.
Experience building data pipelines using PySpark.
Hands-on experience with Databricks.
Strong SQL development experience.
Experience working with Snowflake or comparable cloud data warehouse technologies.
Experience integrating and processing data from multiple heterogeneous data sources.
Strong debugging, analytical, and problem-solving skills.
Excellent communication and collaboration abilities.

Nice to Have

Experience with MongoDB.
Experience with KDB or time-series databases.
Exposure to AI/ML workloads.
Experience with data quality frameworks, reconciliation controls, and regulatory reporting environments.
Financial services or capital markets experience.

What Will Make You Successful

Strong business mindset with the ability to understand data challenges beyond pure development.
Ability to work effectively with globally distributed teams.
Comfortable operating in a highly regulated and data-sensitive environment.
Strong communication skills and ability to collaborate with both technical and business stakeholders.
Ability to think creatively and propose scalable solutions to complex data challenges.

What You Need to Do Now

If you're interested in this opportunity, please submit an updated copy of your resume.

If this role isn't quite right for you but you're exploring new opportunities within Data Engineering, Analytics, AI/ML, or Cloud Data Platforms, please contact us for a confidential career discussion.

Apply About employer

More about this job

Responsibilities

Design, build, and maintain scalable data pipelines and ingestion frameworks using Python, PySpark, Databricks, SQL, and Snowflake, onboarding diverse data sources into a strategic monitoring platform. Implement data quality and monitoring controls, troubleshoot and optimize pipelines, and support regulatory reporting while collaborating with global teams and business stakeholders.

Requirements

Requires 3–5 years of data or software engineering experience, strong Python, PySpark, Databricks, and SQL skills, and experience with Snowflake or a comparable cloud data warehouse. Candidates should be skilled in integrating heterogeneous data sources, debugging, and collaboration; financial services, MongoDB, KDB, AI/ML, and regulatory reporting experience are advantageous.

Skills

Python
PySpark
Databricks
SQL
Snowflake
Data Pipeline Development
Data Ingestion
Data Transformation
Data Quality
Data Validation
Data Reconciliation
Pipeline Troubleshooting
Performance Optimization
MongoDB
KDB
Time-Series Databases

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
Databricks
SQL
Snowflake
MongoDB
KDB
Time-Series Databases
Data Engineering
Software Engineering
Data Pipelines
Data Ingestion
Data Transformation
Data Quality
Data Reconciliation
Data Validation
Data Monitoring
Regulatory Reporting
Client Data Confidentiality
Data Governance
Operational Databases
Application Telemetry
User Activity Data
Cloud Data Warehouses
AI/ML
Financial Services
Capital Markets
Pipeline Optimization

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