IT & data jobs in Canada

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

Counted Sep 22, 2026

Hiring at a glance

View jobs

Open jobs: 2,573
Employers: 1,269

Advertised starting pay

Average starting payCAD / year: $98,218Across 247 listings
Average starting payCAD / hour: $48.85Across 82 listings
Average starting payUSD / year: $117,481Across 54 listings
Average starting payUSD / hour: $56.82Across 11 listings

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

Where work happens

Remote: 5%126 listings
Hybrid: 38%990 listings
On-site: 56%1,437 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (56), Royal Bank of Canada (46), TD (46).

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

Save this search

Added 1 min ago
Technology Lead - AWS Data Engineer
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Infosys is seeking an experienced Data Engineer with 6+ years of experience in building scalable data platforms and ETL pipelines. The ideal candidate should have strong hands-on expertise…
Added 32 mins ago
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Contract
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Added 1 hour ago
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Added 2 hours ago
Senior Data Scientist | Informatica CDGC, Data Marketplace, Data Governance, Metadata Management, SQL, Azure, Databricks, Power BI
CCI- Computer Consultants International, Inc.
Toronto, ON
Contract
Configure and implement Informatica Intelligent Data Management Cloud (IDMC) governance capabilities.
Added 2 hours ago
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Toronto, ON
Full-time
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information technology (IT) specialist
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user support technician
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Camrose, AB
Full-time
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Sundayy
Canada
Full-time
…innovation capacity. Our mission is rooted in providing insightful data-driven analysis that enables organizations to craft effective strategies for sustainable growth in a rapidly evolving…
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Senior Data Engineer
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Toronto, ON
Full-time
At Confluence, we’ve always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our…
Added 4 hours ago
Senior Data Engineer
Confluence
Toronto, ON
Full-time
At Confluence, we’ve always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our…
Added 5 hours ago
AI / Data Engineer
White Widget
MB · Back, MB
Full-time
Added 7 hours ago
Data Analyst, Product Insights - New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. The New Grad Data Analyst will uncover insights to guide product strategy and improve user outcomes by exploring behavioral data, customer…
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Lead Data Engineer - AI & Machine Learning
Royal Bank of Canada
Toronto, ON
Full-time
Join a high-performing team transforming RBC's Chief Data Office. You will work closely with SMEs, business stakeholders, architects, and senior developers to build and deploy scalable,…
Added 8 hours ago
Senior Data Scientist
Teckhorizon Inc
Toronto, ON
Contract
The client is seeking a Senior Data Scientist with strong experience in data governance, metadata management, Informatica, and enterprise data platforms. The successful candidate will…
Added 8 hours ago
Senior Business Systems Analyst
Royal Bank of Canada
Toronto, ON
Full-time
A key IT role within Wealth Management Technology & Solutions, Data Services Canada team, you will be a Business System Analyst that will act as an SME for Global Wealth Management Data Hub…
Added 9 hours ago
Computer Network Technician
Advanced Precast Inc.
Toronto, ON · Greater Toronto Area, Canada
Full-time
Added 9 hours ago
IT Client Services - Help Desk Analyst (Full-Time)
City of Thunder Bay
Thunder Bay, ON
Full-time
Added 9 hours ago
Senior Data Analyst I, Product
Mistplay
Toronto, ON
Full-time
Added 9 hours ago
Business Systems Analyst II - Forward Summit East 2026
TD
Toronto, ON
Full-time
Added 10 hours ago
Lead Data Engineer - AI & Machine Learning
RBC
Toronto, ON
Full-time
Join a high-performing team transforming RBC's Chief Data Office. You will work closely with SMEs, business stakeholders, architects, and senior developers to build and deploy scalable,…
Added 11 hours ago
Data Scientist - Senior - RQ11583
S M Software Solutions Inc
Toronto, ON
Internship
We are looking for an experienced Data Scientist – Senior with strong hands-on experience in Informatica Intelligent Data Management Cloud (IDMC), data governance, metadata management, data…
Added 12 hours ago
System Administrator, Level 3
Donna Cona
Ottawa, ON
Full-time
Added 12 hours ago
Technical Project Manager (hands-on)
Avenue Code
Canada
Full-time

GEI Consultants, Inc.

Data Engineer

Kitchener, ON, Canada

Pay: Pay Range For This Position: $90,000.00 – $150,000.00/year
Job type: Full-time
Apply by: Oct 17, 2026
Experience: 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
Posting language: English
Posted: Apr 7, 2026

Apply About employer

Applications open in a new tab.

Original job description

Description

Your role at GEI.

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.

The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.

Essential Responsibilities & Duties

Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams.

Minimum Qualifications

4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
Prior experience in professional services, engineering, or construction environments is a plus.
Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.

We are GEI.

Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.

We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.

With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.

Employee-owned. Employee-focused.

As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.

GEI’s Total Rewards Package Includes

Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
Pay Range For This Position: $90,000.00 – $150,000.00/year
Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
Well-Being Program and Paid Parental Leave
Commuter Benefits
Hybrid Work Schedules and Cell Phone Stipends
GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
Paid Holidays and Generous Paid Time Off Program
Rewards and Recognition
GEI-Funded Profit Sharing and 401(k)
Opportunity to be an Owner and Shareholder (Learn more here)
A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
And More…

Physical Requirements

WORK ENVIRONMENT

Functional Demands

Sedentary

x

Light

Medium

Other

Activity Level Throughout Workday (check one per row)

Physical Activity Requirements

Occasional

(0-35% of day)

Frequent

(33-66% of day)

Continuous

(67-100% of day)

Not Applicable

Sitting

x

Standing

x

Walking

x

Climbing

x

Lifting (floor to waist level) (in pounds)

x

Lifting (waist level and above) (in pounds)

x

Carrying objects

x

Push/pull

x

Twisting

x

Bending

x

Reaching forward

x

Reaching overhead

x

Squat/kneel/crawl

x

Wrist position deviation

x

Pinching/fine motor skills

x

Keyboard use/repetitive motion

x

Taste or smell (taste=never)

x

Talk or hear

x

Accurate 20/40

Very Accurate 20/20

Not Applicable

Near Vision

x

Far Vision

x

Yes

No

Not Applicable

Color Discrimination

Sensory Requirements

Minimal

Moderate

Accurate

Not Applicable

Depth perception

x

Hearing

x

Environment Requirements

Occupational Exposure Risk Potential

Reasonably Anticipated

Not Anticipated

Blood borne pathogens

x

Chemical

x

Airborne communicable diseases

x

Extreme temperatures

x

Radiation

x

Uneven surfaces or elevations

x

Extreme noise levels

x

Dust/particulate matter

x

Other (exposure Risks)

Usual workday hours:

x

8

10

12

Other work hours

GEI is an AA/equal opportunity employer, including disabled and veterans.

Apply About employer

More about this job

Responsibilities

The Data Engineer designs, builds, and maintains data pipelines and integrations to support enterprise AI solutions and digital initiatives. They collaborate with AI engineers and platform teams to ensure data infrastructure is secure, scalable, and production-ready.

Requirements

Candidates must have 4+ years of data engineering experience with proficiency in Python, SQL, and Azure data services. Experience with ETL/ELT pipelines, data modeling, and AI-related storage patterns is required.

Skills

Python
SQL
PySpark
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Azure SQL
Azure AI Search
Cosmos DB
ETL/ELT
Data modeling
Terraform
Azure DevOps
Data governance
Databricks
Delta Lake

Benefits

Annual performance bonus
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Well-being program
Paid parental leave
Commuter benefits
Hybrid work schedules
Cell phone stipend
Continuing education assistance
Tuition reimbursement
Professional development
Profit sharing
401(k)

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
AI Solutions
Data Pipelines
Python
SQL
PySpark
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Azure SQL
Azure AI Search
Cosmos DB
ETL
ELT
Data Modeling
Terraform
Azure DevOps
Data Governance
Databricks
Delta Lake
Unity Catalog
RAG
Power BI
Cloud Computing
Data Lineage
Infrastructure-as-Code
CI/CD
Encryption
Role-based Access Control
AEC Industry

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