IT & data jobs in Canada

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

Counted Oct 27, 2026

Hiring at a glance

View jobs

Open jobs: 4,103
Employers: 1,877

Advertised starting pay

Average starting payCAD / year: $96,539Across 359 listings
Average starting payCAD / hour: $49.81Across 274 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%180 listings
Hybrid: 38%1,563 listings
On-site: 57%2,347 listings

Not specified: <1% (13 listings)

Employers hiring include TD (71), S M Software Solutions Inc (61), J&M Group (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 8 days ago
A
Senior IFRS 17 Data Engineer / Toronto, ON - (Onsite) FTE
AceStack
Toronto, ON
- Full-time
We are seeking an experienced Senior IFRS 17 Data Engineer with strong expertise in insurance data, IFRS 17, data analysis, SQL, Python, and PySpark. The ideal candidate will be responsible…
Added 8 days ago
AS
Senior Data Engineer
Ardent SoftSol Inc.
Markham, ON
- Contract
Experience in the insurance industry and ability to understand underwriting data terminology.
Added 8 days ago
BS
Systems Administrator
BayOne Solutions
Toronto, ON
- $70 to $75 CAD / hour
- Contract
Added 8 days ago
Data Engineer
Scotiabank
Toronto, ON
The Data Engineer provides hands on technical expertise across software engineering, data engineering, and AI/ML. This role shapes solution architecture, establishes engineering standards,…
Added 8 days ago
M
Senior Data Scientist - GenAI
Manulife
Toronto, ON
- Full-time
We are seeking a highly skilled and motivated Senior Data Scientist to join our Group Functions Advanced Analytics team. As a Senior Data Scientist - GenAI, you will develop and implement…
Added 8 days ago
BI
Business System Analyst-Banking
BURGEON IT SERVICES
Toronto, ON
- Contract
Provide reliable and timely data feeds to downstream systems, including:
Added 8 days ago
IN
Senior Data Engineer
IKO North America
Mississauga, ON
- Full-time
Added 8 days ago
T
Data Engineer
TechDoQuest
Markham, ON
- Contract
Experience in the insurance industry and ability to understand underwriting data terminology.
Added 8 days ago
MR
Data Architect
MPA Recruitment
Toronto, ON
- $160,000 to $200,000 CAD / year
- Full-time
…software at some point in your life. They are now looking for a Data Architect to join their team in Halifax or Toronto…
Added 8 days ago
H
Product Cybersecurity Specialist
Hexagon
Calgary, AB · Home Based
- Full-time
Added 8 days ago
CS
Data Architect
Cyber Space Technologies LLC
ON · Ontario, Canada
- Contract
We are looking for a hands-on Data Architect to support a strategic data controls and governance initiative. This role will be responsible for assessing data flows, designing remediation…
Added 8 days ago
HA
Product Cybersecurity Specialist
Hexagon Autonomous Solutions
Calgary, AB
- Full-time
Added 8 days ago
LC
Senior Enterprise Database Administrator
Litcom Consulting Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 8 days ago
D-
DBA Oracle/PostgreSQL
DELAN - IT Talent Solutions
Ottawa, ON
- Full-time
Added 8 days ago
AI
Technical Support Analyst with Pega Skill (Pega, Unix, Sql, Dynatrace, Elastic Search etc)
Apptoza Inc.
Toronto, ON
- Contract
Added 8 days ago
SS
Application Support Analyst
Soho Square Solutions
Montreal, QC
- Contract
Added 8 days ago
CS
Business Systems Analyst
Cyber Space Technologies LLC
Front of Yonge, 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 8 days ago
Y
Data Engineer
Yochana
Calgary, AB
- Full-time
We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure that support data-driven decision-making.
Added 8 days ago
I
Technicien(ne) du soutien informatique (sur site/bilingue)/IT Support Technician (On-site/Bilingual)
IQVIA
Laval, QC
- Full-time
Added 8 days ago
R
Lead Data Scientist, AML Analytics
RBC
Vancouver, BC · Toronto, ON
- Full-time
As a Lead Data Scientist, Global AML Transaction Monitoring, you will develop and maintain efficient and effective AML/ATF Transaction Monitoring models that considers regulatory…
Added 8 days ago
A
Guidewire Business Systems Analyst
Akkodis
Toronto, ON · Greater Toronto Area, Canada
- Contract
Added 8 days ago
MI
Senior Data Engineer
Maarut Inc
Toronto, ON
- Contract
Design, build, automate and optimize complex data ETL/ELT processes using Databricks, Delta Live Tables (DLT) and equivalent.
Added 8 days ago
GO
Cybersecurity Analyst II (Computer Systems Analyst II)
Government of Newfoundland and Labrador
St. John's, NL
- Full-time
Added 8 days ago
FE
Intern System Administrator
Future Electronics
Kirkland, QC
- Internship
Added 8 days ago
CT
Data Architect
Celebal Technologies
Ottawa, ON
- Contract
We are seeking a hands-on Data Engineer with strong Databricks expertise to design, develop, and optimize scalable data pipelines and cloud-based data platforms.

S M Software Solutions Inc

RQ11486 – Data Ops/Cloud Data Engineer – Senior

Toronto, ON, Canada

Internship

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Applications open in a new tab.

Job details

Job type: Internship
Apply by: Nov 17, 2026
Posting language: English
Posted: Oct 18, 2026

Original job description

Client: Ministry of Public and Business Service Delivery and Procurement – RQ11486

We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms. The ideal candidate will have strong hands-on expertise in Databricks, Delta Live Tables (DLT), Unity Catalog or equivalent technologies, Azure Data Factory, advanced SQL, PySpark, data modelling, and enterprise-scale data migration and integration. The successful candidate will be responsible for building and optimizing ETL/ELT processes, implementing CI/CD practices, managing cloud data services, and supporting data engineering initiatives across multiple platforms, including Oracle, Azure Data Lake, Databricks, and Microsoft Fabric.

Role Snapshot

Job Title: RQ11486 – Data Ops/Cloud Data Engineer – Senior
Client: Ministry of Public and Business Service Delivery and Procurement
Work Location: 40 St. Clair Avenue West, Toronto, Ontario, Canada
Work Arrangement: Onsite – 5 Days per Week
Estimated Start Date: October 5, 2026
Estimated End Date: March 31, 2027
Business Days: 123.00
Extension: 60.00
Hours: 7.25 hours per day
Security Level: No Clearance Required

Must Have

Experience designing, building, automating, and optimizing complex data ETL/ELT processes using Databricks, Delta Live Tables (DLT), or equivalent technologies.
Experience developing unified data platforms using Databricks and Unity Catalog or equivalent technologies.
Experience with relational databases, including Oracle, MySQL, and SQL Server; relational and dimensional data modelling; advanced SQL; query optimization; data replication; and database administration.
Advanced SQL skills, including PL/SQL and T-SQL.
Experience with big data processing frameworks, including PySpark.
Proficiency in creating Azure Data Factory pipelines for copy activities and developing custom data pipelines in Databricks with CI/CD using Azure DevOps Git integration.
Experience with data migration and integration across different platforms, including:
- Oracle to Azure Data Lake
- Oracle to Databricks
- Oracle to Microsoft Fabric

Description

To respond to the priorities of the Government of Ontario through the passage of Bill 5, Protect Ontario by Unleashing Our Economy Act, 2025, the resource may be partially assigned to Bill 5-related projects or initiatives on an as-needed basis.

Responsibilities

Design and develop data pipelines from source systems to end users.
Optimize data pipelines.

General Skills

Experience with cloud data platforms, data management, and data exchange tools and technologies.
Experience with commercial and open-source data and database development and management, specializing in data storage settings and managing Cloud Data as a Service (DaaS), application Database as a Service (DBaaS), Data Warehouses as a Service (DaaS), and other storage platforms in both cloud and on-premises environments.
Experience with data pipeline and workflow development, orchestration, deployment, and automation, specializing in programming and pipelines to create and manage data flows and data movement.
Experience as a Cloud Data Engineer, including familiarity with and experience in different programming languages and the ability to integrate multiple platforms to create data pipelines, automate tasks, and write scripts.
Experience with DataOps principles, best practices, implementation, and Agile project development and deployment.
Experience with Continuous Integration/Continuous Development/Deployment (CI/CD) and data provisioning automation.
Experience with digital products, data analysis, data exchange, data provisioning, and data security.
Extensive expert experience in designing, developing, and implementing data conversion and migration of Very Large Data (VLD) across Online Analytical Processing (OLAP) and Online Transaction Processing (OLTP) environments to Cloud Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) environments.
Experience in the design, development, and implementation of fact/dimension models, data mapping, data warehouses, data lakes, and data lakehouses for enterprise environments.
Experience managing cloud data services for project delivery, including storage, repositories, data lakes, data lakehouses, key vaults, virtual machines, disks, and related services.
Experience with structured, semi-structured, and unstructured data collection, ingestion, provisioning, and exchange; technological development of enterprise data warehouse, data lake, and data lakehouse solutions; and operational support.
Experience with DataOps performance monitoring and tuning.
Excellent analytical, problem-solving, and decision-making skills; verbal and written communication skills; presentation skills; interpersonal skills; and negotiation skills.
A team player with a track record of meeting deadlines.

Desirable Skills And Experience

Data lake design and development, with a focus on extracting and transforming data from various sources and loading it into a lakehouse using medallion architecture.
Advanced skills and hands-on experience with Oracle databases, Azure SQL Server, and Azure Data Factory.
Experience with cloud technologies, including Azure, Google Cloud, and AWS.
Experience with PL/SQL for data extraction, transformation, and loading; initial setup; and other ETL experience, including management and support activities such as troubleshooting, performance tuning, failover, and recovery.
Experience with scripting languages, including Python, Unix shell, and Scala.

Experience And Skill Set Requirements

Mandatory Skills and Experience - 70%

Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General Skills Sections, Including:

Designing, building, automating, and optimizing ETL/ELT data pipelines using Databricks, Delta Live Tables (DLT), or equivalent technologies.
Developing unified data platforms using Databricks and Unity Catalog or equivalent technologies.
Working with relational databases, data modelling, advanced SQL, PL/SQL, T-SQL, query optimization, data replication, and database administration.
Applying big data processing frameworks, including PySpark.
Developing Azure Data Factory pipelines and custom Databricks data pipelines with CI/CD and Azure DevOps Git integration.
Performing data migration and integration across Oracle, Azure Data Lake, Databricks, and Microsoft Fabric.
Applying DataOps principles, CI/CD, data provisioning automation, cloud data management, pipeline orchestration, performance monitoring, and tuning.
Supporting enterprise-scale data conversion, migration, warehousing, lake, and lakehouse solutions.
Desirable Skills and Experience - 25%
Data lake and lakehouse design and development using medallion architecture.
Advanced hands-on experience with Oracle databases, Azure SQL Server, and Azure Data Factory.
Knowledge of Azure, Google Cloud, and AWS.
PL/SQL-based data extraction, transformation, loading, ETL management, troubleshooting, performance tuning, failover, and recovery.
Scripting experience with Python, Unix shell, and Scala.
Education - 3%
Education-related qualifications and experience as applicable to the assignment requirements.
Public Sector Experience - 2%
Public sector experience relevant to the assignment and the priorities of the Government of Ontario.

How to Apply

If you are interested and your profile matches the requirements, kindly send the following mandatory documents to hrsmss@smsoftconsulting.com by Wednesday, October 21, 2026, at 8:00 AM EST.

Mandatory Documents:

Updated Resume in Word format (Mandatory)
References (Mandatory)
Expected Hourly Rate (Mandatory)
Visa Status (Mandatory)
LinkedIn ID (Mandatory)

Without the mandatory documents, we cannot submit a candidate.

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Note:

The candidate is required to work from the office five days per week.

Email is the best way to reach us.

You have received this message either as a result of contacting our company to express interest in employment or as a result of posting your resume in a location that can be accessed by recruiters or HR specialists, which suggests an interest in being contacted about employment opportunities.

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More about this job

Responsibilities

Design, develop, automate, and optimize data pipelines and cloud data platforms, including ETL/ELT workflows, integrations, and enterprise-scale migrations. Manage cloud data services and apply DataOps, CI/CD, orchestration, monitoring, and performance-tuning practices across platforms such as Oracle, Azure Data Lake, Databricks, and Microsoft Fabric.

Requirements

Requires extensive hands-on experience with Databricks, Delta Live Tables or equivalent, Unity Catalog or equivalent, Azure Data Factory, advanced SQL, PL/SQL, T-SQL, PySpark, and relational and dimensional data modeling. Candidates should also have experience with Azure DevOps CI/CD, enterprise data migration and integration, cloud data platforms, DataOps, and pipeline optimization.

Skills

Databricks
Delta Live Tables
Unity Catalog
Azure Data Factory
Advanced SQL
PL/SQL
T-SQL
PySpark
Data Modeling
ETL/ELT Pipelines
Azure DevOps
CI/CD
Oracle
Microsoft Fabric
Data Migration
DataOps

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Delta Live Tables
Unity Catalog
Azure Data Factory
Azure DevOps
Microsoft Fabric
Azure Data Lake
Oracle
MySQL
SQL Server
Azure SQL Server
Advanced SQL
PL/SQL
T-SQL
PySpark
Python
Scala
Unix Shell
ETL/ELT
DataOps
CI/CD
Data Migration
Data Integration
Data Modeling
Dimensional Modeling
Data Lakehouse
Medallion Architecture
Pipeline Orchestration
Performance Tuning
Google Cloud

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