IT & data jobs in Canada

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

Counted Nov 5, 2026

Hiring at a glance

View jobs

Open jobs: 4,991
Employers: 2,103

Advertised starting pay

Average starting payCAD / year: $97,991Across 496 listings
Average starting payCAD / hour: $50.41Across 351 listings

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

Where work happens

Remote: 4%200 listings
Hybrid: 38%1,912 listings
On-site: 57%2,865 listings

Not specified: <1% (14 listings)

Employers hiring include TD (86), 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 1 day ago
RI
Service Desk Analyst (fluent English and French)
Raas Infotek
Mississauga, ON
- Contract
Added 1 day ago
QG
IT Support Analyst - Fulltime Position (On-Site)
QSP Geographics Inc.
Vaughan, ON
- $55,000 to $70,000 CAD / year
- Full-time
Added 1 day ago
DA
Junior IT Support Specialist
Destination Auto Group
Burnaby, BC
- $40,000 to $48,000 CAD / year
- Full-time
Added 1 day ago
M
Senior Data Architect
Miratech
Mississauga, ON
- Full-time
Added 1 day ago
TI
Machine Learning Engineer - Senior
TekStaff IT Solutions
Toronto, ON
- Contract
Added 1 day ago
AT
Desktop support Analyst
Air Transat
Montreal, QC
- Full-time
Added 1 day ago
Y
Service Desk Analyst
Yochana
Mississauga, ON
- Contract
Added 1 day ago
T
Data Science Developer - Senior/Senior Data Scientist / ML Engineer
ThoughtStorm
Toronto, ON
- Contract
Strong hands-on experience in Data Science, Advanced Analytics, Predictive Modelling, and Machine Learning.
Added 1 day ago
FS
Help Desk Specialist
Futran Solutions
Ottawa, ON · Kanata, ON
- Contract
Added 1 day ago
NC
Help Desk Analyst (6-month contract)
Noble Corporation
Concord, ON
- Temporary
Added 1 day ago
TI
Data Analyst
Teranet Inc.
Toronto, ON
- Full-time
…commercial registries. We also market insightful property and data solutions, as well as practice management automation to thousands of customers in real estate, financial services,…
Added 1 day ago
B
Data Scientist
BMO
Toronto, ON · BMOPLACE
- Full-time
We are seeking a data scientist to join our team on a 12-month contract to support key machine learning initiative.
Added 1 day ago
Data Engineer, Lead
University of Toronto
Toronto, ON
Faculty/Division: Institutional Research and Data Governance
Added 1 day ago
EI
Sr Technical Business Analyst
Elite IT Solutions Inc
Montreal, QC
- Contract
- Analyze processes and systems to understand how data, applications, and workflows operate today and what needs to change.
Added 1 day ago
Business System Analyst (BFSI)
Capgemini
Toronto, ON
The Data Business Systems Analyst (Data BSA) will support the design, develop
Added 1 day ago
D
Data Scientist, International
DoorDash
Toronto, ON
- Full-time
The Analytics team is looking for Data Analysts and Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our…
Added 1 day ago
NC
Help Desk Analyst (6-month contract)
Noble Corporation
Vaughan, ON
- Temporary
Added 1 day ago
B
Senior Security Operations Analyst
BRP
Valcourt, QC
- Full-time
…tools, and helping protect critical systems, networks, and data from cyber…
Added 1 day ago
IT Support Analyst (12 Month Contract)
Greenfield Global Inc.
Chatham-Kent, ON · Chatham, ON
Added 1 day ago
R&
IT - Bus Systems Analyst III
Robertson & Company Ltd.
Toronto, ON
- Contract
Added 1 day ago
RD
Senior Database Administrator
Randstad Digital
Mississauga, ON
- Contract
Added 1 day ago
RI
Service Desk Analyst
Raas Infotek
Mississauga, ON
- Contract
Added 1 day ago
IC
Senior Data Engineer
Infotek Consulting Inc.
Toronto, ON · Greater Toronto Area, Canada
- $70 to $100 CAD / hour
- Contract
Senior Data Engineer (Azure, Databricks, PySpark) | Talent Community
Added 1 day ago
RI
Service Desk Analyst
Raas Infotek
Mississauga, ON
- Contract
Added 1 day ago
D
Data scientist
Desjardins
Levis, QC · Montreal, QC · Complexe Desjardins Montréal
- Full-time
As a Data scientist assigned to the Finance function, you play a key role in the technological aspect of Finance’s approach to innovation. You work directly with business teams to transform…

J&M Group

Azure Data Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: May 1, 2027
Experience: Experience: 5+ Years
Posting language: English
Posted: Nov 2, 2026

Original job description

Experience: 5+ Years

Primary Skills: Azure Databricks, PySpark, SQL, ETL/Data Engineering, Azure Data Factory, Streaming

Cloud Platform: Microsoft Azure

Role Summary

We are looking for an experienced Azure Data Engineer to design, develop, and support scalable data ingestion and processing solutions on the Microsoft Azure platform. The candidate will be responsible for building reusable data engineering frameworks, integrating end-to-end data pipelines, supporting batch and streaming workloads, and ensuring data quality, reliability, and consistency across the data platform.

The role also requires strong troubleshooting capabilities and experience supporting production applications across L1, L2, and L3 support activities.

Key Responsibilities

Design, develop, and implement data ingestion pipelines from multiple structured and unstructured data sources using Azure Databricks.

Develop scalable, configurable, and reusable data ingestion frameworks that can support multiple datasets and source systems.

Build and maintain end-to-end data pipelines, moving data from source systems through transformation layers into target data repositories.

Develop data transformation and processing solutions using PySpark, Spark SQL, and SQL.

Implement data validation, reconciliation, error handling, audit logging, and data-quality controls to maintain accuracy and consistency throughout the pipeline.

Design and develop both batch and streaming data pipelines.

Work with event-based and streaming technologies such as Apache Kafka, Azure Event Hubs, or Spark Structured Streaming, depending on project architecture.

Develop and orchestrate data pipelines using Azure Data Factory (ADF) and integrate them with Azure Databricks.

Work with Azure data services such as Azure Data Lake Storage Gen2 (ADLS Gen2) and related target repositories.

Optimize Databricks/Spark workloads for performance, scalability, and reliability.

Collaborate with cross-functional teams responsible for components such as APIs, search capabilities, source applications, and downstream consuming systems.

Evaluate appropriate data engineering tools and technologies against functional, technical, performance, and customer requirements.

Troubleshoot data pipeline failures and production issues, perform root-cause analysis, and implement permanent fixes.

Participate in L1, L2, and L3 production support, including operational monitoring, incident resolution, defect fixing, and problem management.

Maintain technical documentation, operational procedures, and data pipeline specifications.

Communicate effectively with technical teams, business stakeholders, and customer teams.

Mandatory Technical Skills

Strong hands-on experience with Azure Databricks

Strong knowledge of Apache Spark / PySpark

Advanced SQL skills

Experience with Azure Data Factory (ADF)

Experience building ETL/ELT and data ingestion pipelines

Experience with ADLS Gen2 / Azure Storage

Strong understanding of Delta Lake / Delta tables

Experience developing reusable/configuration-driven data engineering frameworks

Knowledge of batch and real-time/streaming data processing

Experience with streaming technologies such as Kafka, Azure Event Hubs, or Spark Structured Streaming

Good understanding of data warehousing and data lake concepts

Experience implementing data-quality, reconciliation, logging, auditing, and exception-handling mechanisms

Experience troubleshooting production data pipelines

Experience with L1/L2/L3 application or data-platform support

Good to Have

Databricks Workflows / Jobs

Delta Live Tables / Lakeflow Declarative Pipelines

Databricks Unity Catalog

CI/CD experience with Azure DevOps or Git

Python

Azure Key Vault and secrets management

REST API integration

Experience With JSON, CSV, Parquet, And Other Data Formats

Data migration or modernization experience

Understanding of Medallion Architecture: Bronze, Silver, Gold

Monitoring, alerting, and operational support experience

Soft Skills

Strong verbal and written communication skills

Strong analytical and problem-solving abilities

Ability to independently troubleshoot complex data issues

Comfortable working with distributed and cross-functional project teams

Ability to communicate technical issues clearly to both technical and non-technical stakeholders

Strong ownership mindset for production systems

Apply About employer

More about this job

Responsibilities

Design, build, and optimize reusable Azure data ingestion and processing pipelines for batch and streaming workloads, using Databricks, PySpark, SQL, Azure Data Factory, and Azure storage services. Maintain data quality and reliability, troubleshoot production issues, provide L1/L2/L3 support, and collaborate with technical teams and stakeholders.

Requirements

Requires 5+ years of experience, strong hands-on Azure Databricks and Apache Spark/PySpark skills, advanced SQL, and experience with Azure Data Factory, ADLS Gen2, Delta Lake, and ETL/ELT pipelines. Candidates should also have experience with batch and streaming processing, data-quality controls, production troubleshooting and support, and reusable data engineering frameworks.

Skills

Azure Databricks
PySpark
Apache Spark
SQL
Azure Data Factory
ETL/ELT
Data Ingestion
ADLS Gen2
Delta Lake
Streaming Data Processing
Apache Kafka
Azure Event Hubs
Data Quality
Production Support
Python
Azure DevOps

Visa sponsorship

Not detected in the job text

Keywords

Azure Databricks
PySpark
Apache Spark
Spark SQL
SQL
Azure Data Factory
ADLS Gen2
Azure Storage
Delta Lake
ETL/ELT
Data Ingestion
Data Engineering
Batch Processing
Streaming Data Processing
Apache Kafka
Azure Event Hubs
Spark Structured Streaming
Data Warehousing
Data Lakes
Data Quality
Data Reconciliation
Audit Logging
Exception Handling
Databricks Workflows
Delta Live Tables
Unity Catalog
Azure DevOps
Python
Azure Key Vault
Medallion Architecture

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