IT & data jobs in Canada (5,214 jobs)

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

Counted Nov 9, 2026

Hiring at a glance

View jobs

Open jobs: 5,214
Employers: 2,155

Advertised starting pay

Average starting payCAD / year: $97,925Across 514 listings
Average starting payCAD / hour: $51.05Across 368 listings

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

Where work happens

Remote: 4%205 listings
Hybrid: 39%2,020 listings
On-site: 57%2,974 listings

Not specified: <1% (15 listings)

Employers hiring include TD (93), S M Software Solutions Inc (90), 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 24 days ago
P
Procurement & Supply Chain Analyst / Supply Chain Data Analyst (PSCA003)
Potenco
Canada
- Full-time
Procurement & Supply Chain Analyst / Supply Chain Data Analyst
Added 24 days ago
SI
Data Scientist
Spait Infotech
Canada
- Full-time
Collect, clean, preprocess, and analyze structured and unstructured data.
Added 24 days ago
BH
Staff/Lead Application Security Engineer
Beacon Holdings
Toronto, ON
- Full-time
Added 24 days ago
CS
Data Modeler – Cloud/Azure
Confiar Services
Toronto, ON
- Contract
We are looking for an experienced Data Modeler to support cloud and data modernization initiatives. The ideal candidate will have strong hands-on experience in data modeling, SQL, Azure…
Added 24 days ago
PG
Big data Engineer
Pacer Group
Mississauga, ON
- Full-time
8+ years of exp. in developing and maintaining scalable data pipelines using PySpark and Spark SQL for processing large datasets efficiently.
Added 24 days ago
EC
Azure Data Engineer
Experis Canada
Toronto, ON
- Contract
Expert working knowledge of Unity Catalog and data governance setup/configuration
Added 24 days ago
AB
Data Engineer
Ateko, backed by Bell Canada
Toronto, ON
- Contract
5+ years of experience as a Data Engineer developing, optimizing, and maintaining robust ETL/ELT data pipelines.
Added 24 days ago
G
Software Engineering Manager
Glocomms
Vancouver, BC
- $165,000 CAD / year
- Full-time
Added 24 days ago
D-
DBA Oracle/PostgreSQL
DELAN - IT Talent Solutions
Ottawa, ON
- Full-time
Added 24 days ago
M
Application Support Analyst
Mindlance
Montreal, QC
- $40 to $65 CAD / hour
- Contract
Added 24 days ago
IG
Application Support Analyst
Infotree Global Solutions
Montreal, QC
- Contract
Added 24 days ago
R
Data Scientist, Global AML Transaction Monitoring
RBC
Toronto, ON
- Full-time
As Data Scientist, Transaction Monitoring, you will develop and maintain an efficient and effective AML/ATF Transaction Monitoring program that considers regulatory expectations, industry…
Added 24 days ago
R
Associate Director - Lead Data Modeler/Analyst
RBC
Toronto, ON
- Full-time
The Trading & Execution Services (TES) Data Services team within Capital Markets Technology has elevated data to first-class citizen status, providing strategic solutions for the capture,…
Added 24 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Added 24 days ago
SL
Business Systems Consultant, Technical Change, Release Governance & Operations
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Added 24 days ago
A
Software Engineering Manager, Global Developer Relations
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Added 24 days ago
3
Data Analyst
3M
Brockville, ON · CA, Ontario, Brockville
- Full-time
3M is seeking a Data Analyst to support data-driven decision-making across manufacturing operations located in Brockville, ON.
Added 24 days ago
LV
INTERN IT SUPPORT-EN
La Vie En Rose
Montreal, QC
- Full-time
Added 24 days ago
CL
Data Scientist
Charger Logistics Inc.
Brampton, ON
- Full-time
Added 24 days ago
CS
Business Systems Analyst
Cyber Space Technologies LLC
ON · Ontario, Canada
- Full-time
Working with the Project teams, business stakeholders, technical SMEs, , Data Insights on a growing portfolio of interactive dashboards across many product teams
Added 24 days ago
AE
Systems Administrator, Business Applications
Agnico Eagle Mines Limited
Toronto, ON
- Full-time
Added 24 days ago
D
Senior Data Engineer
DNV
Toronto, ON
- Full-time
The Senior Data Engineer is responsible for designing, developing, and maintaining data services, APIs, backend systems, and AI-ready data foundations that support scalable platform…
Added 24 days ago
C
Data Scientist
CARFAX
London, ON
- $78,000 to $116,000 CAD / year
- Full-time
…automotive intelligence through innovation, AI, and industry-leading data, we're creating new opportunities for our customers, our business, and our…
Added 24 days ago
CS
Data Modeler
Confiar Services
Toronto, ON
- Contract
We are seeking an experienced Data Modeler with strong SQL, data analysis, data modeling, and banking domain knowledge. The ideal candidate should have hands-on experience in KYC, sanctions…
Added 24 days ago
R
Data Scientist III
Raise
Toronto, ON
- Full-time
We at Raise are hiring a Data Scientist III for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand. We’re…

Livingston International

Senior Data Engineer

Toronto, ON, Canada
Etobicoke, ON, Canada

The good-faith salary range for this position is 84,455-115,000 USD. · Full-time

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Applications open in a new tab.

Job details

Pay: The good-faith salary range for this position is 84,455-115,000 USD.
Job type: Full-time
Posting language: English
Posted: Aug 25, 2026

Original job description

Join Livingston and grow your career in the constantly changing world of international trade. Livingston is a market leader offering customs brokerage, international trade consulting, compliance and freight forwarding services around the world. Livingston has over 3,000 employees at more than 90 key border crossings, sea ports, airports and other strategic locations in North America, Europe and Asia.

Our fast-paced and collaborative environment offers you the opportunity to work with leaders in the industry, receive recognition for achievements and develop your expertise in the complex and evolving world of trade. Learn how you can make an impact at Livingston.

Job Summary

Livingston moves goods across a complex, high-velocity supply chain, and data is at the heart of how we plan, route, and optimize that movement. We're looking for a Senior Data Engineer to design, build, and scale the data infrastructure that powers logistics operations, transportation analytics, warehouse and inventory visibility, and executive decision-making.

Reporting to the Director, IT, this role is a senior technical anchor within the Data & Analytics function. You'll partner closely with Operations, Supply Chain Planning, Finance, internal IT and Business Intelligence teams to turn high-volume, time-sensitive logistics data into reliable, well-governed and intelligent data products. This is an opportunity to shape data architecture and engineering for a growing organization where data quality and speed directly affect the movement of freight and the customer experience.

Key Duties & Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines that ingest data from transportation management (TMS), ERP, EDI, and telematics/IoT sources.
Architect and optimize data models and data warehouse/lakehouse structures to support reporting, forecasting, advanced analytics and AI.
Build and maintain the infrastructure required to support near-real-time visibility into shipments, inventory, and performance.
Establish and enforce metadata, data quality, validation, and reconciliation processes across high-volume logistics data feeds.
Partner with data analysts, data scientists, and BI developers to ensure data is modeled and delivered in a way that supports self-serve reporting and predictive modeling.
Implement and maintain data governance, lineage, security, and access control practices in line with company policy and regulatory requirements.
Optimize pipeline performance and cost across cloud data platforms, monitoring for reliability, latency, and scalability as data volumes grow.
Collaborate with the Director, IT and cross-functional stakeholders to translate business requirements (e.g., optimization, performance, demand forecasting, Portal integrations, etc.) into technical data solutions.
Provide technical mentorship to junior and intermediate data engineers, and contribute to engineering standards, documentation, and code review practices.
Support the evaluation and integration of new data tools, platforms, and vendor systems.
Participate in on-call rotation and incident response for critical data pipeline issues affecting operational reporting.
Be hands-on with data architecture and engineering functions

Knowledge & Skills

To perform this job successfully, the person must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and abilities required. Reasonable accommodations may be made to enable a person with disabilities to perform the essential functions.

Strong proficiency in SQL and other programming languages commonly used in data engineering (e.g., Python, Apache).
Hands-on experience with modern cloud data platforms (e.g., GCP and / or AWS) and associated data services (e.g., Redshift, BigQuery, Composer, Airflow, Knowledge Catalog, BQ Products, BQ Conversational AI).
Experience building and orchestrating pipelines in GCP.
Experience in multiple industries, methodologies and architectures
Strong experience in organizations that have gone / going through technology transformation
Hands-on experience with EDI, APIs, or data integration tools is a strong asset.
Working knowledge of streaming/real-time data technologies (e.g., Kafka, Pub/Sub) is required.
Strong grasp of data governance, security, and privacy best practices.
Excellent communication skills, with the ability to translate technical concepts for non-technical, senior stakeholders.

Work Experience – Minimum Required

EDUCATION

Required: Bachelors Degree or equivalent in Computer Science

Certifications Description

Certifications in GCP, Data Architecture and Data Engineering
Preferred certifications in AI and CICD

At Livingston, we are committed to fostering a flexible, growth-oriented environment where you can thrive. Our culture is built on respect, recognition, and collaboration, and we empower our team with trusted expertise, continuous learning opportunities, and long-term support. We offer competitive compensation, comprehensive benefits, and a transparent pay philosophy aligned with market data and job-related factors.

Base salary is one component of our total rewards package which also includes incentive opportunities, benefits, and professional development. Salary ranges are established by location and reflect relevant factors such as skills, experience, and market conditions. The good-faith salary range for this position is 84,455-115,000 USD. Actual compensation will be determined based on these factors and may vary accordingly.

Diversity, Equity, and Inclusion at Livingston

We are proud to be an inclusive employer and welcome applications from individuals of all backgrounds, experiences, and perspectives. Inclusiveness makes us stronger and better at what we do. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Livingston is an equal opportunity employer and committed to creating and sustaining an inclusive environment in which all individuals are treated with dignity, respect and one which reflects the diversity of the community in which we operate. Accommodations are available for applicants and employees with disabilities throughout the recruitment process. If you require accommodations for interviews or other meetings, please advise when submitting your application.

Job Type: Full Time

Location: ON Toronto - CN030

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More about this job

Responsibilities

Design, build, and optimize scalable data pipelines and cloud data infrastructure supporting logistics operations, analytics, forecasting, and near-real-time shipment and inventory visibility. Establish data quality, governance, security, and reliability practices while partnering with business and technical teams, mentoring engineers, and supporting critical pipeline incidents.

Requirements

A bachelor's degree or equivalent in Computer Science is required, along with strong SQL and programming skills and hands-on experience with cloud data platforms and GCP pipeline orchestration. Candidates should have experience with streaming technologies, data governance and security, and the ability to communicate technical concepts to senior non-technical stakeholders; GCP, data architecture, and data engineering certifications are preferred.

Skills

SQL
Python
GCP
AWS
ETL/ELT Pipelines
Data Modeling
Data Warehousing
Lakehouse Architecture
Apache Airflow
Data Governance
Data Quality
Data Security
EDI
APIs
Kafka
Pub/Sub

Benefits

Comprehensive Benefits
Incentive Opportunities
Professional Development

Visa sponsorship

Not detected in the job text

Keywords

SQL
Python
GCP
AWS
BigQuery
Amazon Redshift
Apache Airflow
Cloud Composer
Knowledge Catalog
BigQuery Conversational AI
ETL/ELT
Data Pipelines
Data Warehousing
Lakehouse
Data Architecture
Data Modeling
EDI
APIs
Kafka
Pub/Sub
Telematics
Internet Of Things
Data Governance
Data Lineage
Data Quality
Data Security
Real-Time Data
Logistics
Enterprise Resource Planning

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