IT & data jobs in Canada

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

Counted Sep 24, 2026

Hiring at a glance

View jobs

Open jobs: 2,744
Employers: 1,330

Advertised starting pay

Average starting payCAD / year: $99,086Across 264 listings
Average starting payCAD / hour: $48.15Across 88 listings
Average starting payUSD / year: $116,423Across 57 listings

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

Where work happens

Remote: 5%131 listings
Hybrid: 39%1,057 listings
On-site: 56%1,537 listings

Not specified: 1% (19 listings)

Employers hiring include RBC (58), Royal Bank of Canada (49), TD (47).

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 month ago
Data Architect
Capco
Toronto, ON
Full-time
Capco is looking for an experienced Data Architect with deep expertise across data flows, data integration, data sources, and enterprise data architecture. You’ll work with clients to…
Added 27 days ago
IT Support Analyst
Alamos Gold Inc.
Toronto, ON
Full-time
Added 28 days ago
Sr. Data Scientist
B3 Systems
Toronto, ON
Full-time
B3 enables enterprise manufacturers to digitize their operations and use AI to improve performance. Our AI & Data Science team builds the models, monitors, and AI features behind the…
Added 28 days ago
Sr. Data Engineer - AI & Data Science
B3 Systems
Toronto, ON
Full-time
…leverage AI to dramatically enhance performance. As the Senior Data Engineer on our AI & Data Science team, you'll own the team's analytical data layer: the schemas, views, and pipelines…
Added 28 days ago
Lead System Administrator
RBC
Toronto, ON
Full-time
Added 27 days ago
Machine Learning Engineer
Clarius Mobile Health
Toronto, ON
Temporary
Added 17 days ago
Senior Machine Learning Engineer, GFT
RBC
Toronto, ON
Full-time
Added 27 days ago
Information Technology (IT) Support Specialist
The Mustard SEED Society
Edmonton, AB
Full-time
Added 27 days ago
Intelligence Mission Data Systems Analyst
ADGA Group Consultants Inc
Ottawa, ON
$125,000 to $140,000 CAD / year
Full-time
Added 1 month ago
Senior DBA
J&M Group
Toronto, ON
Full-time
Added 1 month ago
Senior Data Scientist
Harvey Nash
Toronto, ON
$65 to $70 CAD / hour
Contract
We are seeking a highly skilled and motivated Senior Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. This role is critical to…
Added 27 days ago
IT Support
Loopstra Nixon LLP
Toronto, ON
Full-time
Added 1 month ago
Business System Analyst
Kumaran Systems
Toronto, ON
Full-time
Added 1 month ago
Sr. IT System & Network Administrator/Administrateur principal ou Administratrice principale, systèm
Bluberi
Drummondville, QC
Full-time
Added 1 month ago
Software Tester (QA/QC)
BIS Safety Software
Sherwood Park, AB
$60,000 to $70,000 CAD / year
Full-time
Added 1 month ago
Data Analyst - Product & Business Analytics
Stay22
Montreal, QC · Greater Montreal Metropolitan Area
Full-time
Added 27 days ago
Machine Learning Engineer
Invision AI
Remote, Canada
Full-time · Remote
Added 28 days ago
Systems Administrator
Haisla Nation
Haisla, BC
Full-time
Added 28 days ago
Agentic AI / Data Engineer - DC GPU
Advanced Micro Devices, Inc
ON · ONTARIO-HOME OFFICE, Ontario
Full-time
Added 28 days ago
IT Support Technician
MNP
NS
Full-time
Added 29 days ago
Technology - Senior Solutions Systems Analyst, People Technology
Aritzia
Vancouver, BC
$50,000 to $175,000 CAD / year
Full-time
Added 29 days ago
Business Systems Analyst - Guidewire (Policy Center)
CAA Club Group
Thornhill, ON
Added 29 days ago
Business Systems Analyst - Guidewire (Billing Center)
CAA Club Group
Thornhill, ON
Added 23 days ago
Senior Business Systems Analyst
Royal Bank of Canada
Toronto, ON
Full-time
As a Senior Business Systems Analyst supporting the CODI (Curated Operational Data and Insights) program within Operations Technology, you will be the primary analyst of technical…
Added 28 days ago
Quality Systems Analyst – LMS, DMS, QMS
Bayshore
Mississauga, ON

B3 Systems

Sr. Data Engineer - AI & Data Science

Toronto, ON, M4T 2T5, Canada

Job type: Full-time
Posting language: English
Posted: Aug 28, 2026

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Original job description

Senior Data Engineer - AI & Data Science

About the Role

B3 enables enterprise manufacturers to digitize their operations and leverage AI to dramatically enhance performance. As the Senior Data Engineer on our AI & Data Science team, you'll own the team's analytical data layer: the schemas, views, and pipelines that sit on top of our ingested client data and serve every analytics surface, monitor, and AI feature we build. Client data arrives through our existing ingestion and platform teams - your layer shapes it for analysis, APIs, and AI: designed once to serve many consumers, and kept correct and current.

This is a high-autonomy role on a small, senior team. You'll be the AI/DS team's authority on data architecture, the person we go to with the standing to set the standard for how this layer is designed and run. We're looking for cemented, production-proven skills: schemas you designed years ago that still hold, pipelines you owned through their failures, and storage decisions that held without needing review. You'll own a defined, growing data layer with priorities set by one team's roadmap, an architecture-and-ownership role, not a shared ticket queue.

About the Work

Design and standardize the DS data layer, tables, views, aggregates, and relations built over ingested client data structured so multiple consumers (analytics pages, APIs, LLM-driven features) share the same source of truth without re-cutting the schema for each new one.

Build and own the pipelines that keep this layer current: transformations, derived-table refresh scheduling, and the monitoring that proves update stability.

Own the quality bar for derived data: every table in this layer is validated for correctness and update stability before anything is built on it, complementing, not duplicating, the upstream ingestion checks owned by our data and QA teams.

Bring in external, non-client data sources end-to-end. Think whether, regional, or market signals, sourced, ingested, and structured so we can build correlations that reach beyond client data.

Drive communication and alignment across the company's data layers - working collaboratively with our ingestion and platform teams so the stack stays coherent end to end as our services add analytical queries, API serving, and AI-driven reads.

Work with the ML lead and full-stack engineer to expose the layer as clean, reusable services.

Evolve the layer as the platform grows, multi-level site structures, corporate-level aggregation, without breaking what's live.

No industrial background required. Our domain has its share of complex workflows and terminology, and genuine curiosity is what carries people through it. We'll help with the rest.

About You

5+ years of data engineering with production ownership, you will be the the accountable owner of schemas and pipelines a business ran on, not a contributor under someone else's architecture.

Expert SQL and data modeling: normalization judgment, indexing and performance, view and aggregate design built for multiple consumers.

Strong pipeline engineering: scheduling, idempotency, failure handling, monitoring and alerting. You know how updates break and design so they don't.

Solid Python for data work.

Self-sufficient by track record: you can point to architecture calls you made alone that held up.

Works cleanly across team boundaries: you build on upstream data owned by other teams, define clear contracts with them, and keep interfaces documented.

Clear communicator with non-specialists: your schemas and decisions are documented well enough for a small team to trust without re-deriving them.

Bonus Points

Azure stack: Azure SQL, Cosmos DB, App Services, Azure ML.

Industrial or manufacturing data: historians, sensors, downtime/event data, shift-based operations.

Experience shaping data for AI/LLM consumers - views and services a model can call safely.

Experience integrating external/public data sources (weather, market, geographic) into analytical products.

Near-real-time refresh or CDC/streaming patterns.

Small-team experience where you owned an entire data layer.

About the Office

All In, In Office – Centrally located at the corner of Yonge & St. Clair, we show up together, every weekday. Face-to-face time fuels our culture, speed, and creativity.
Built for Growth – We’re moving fast, keeping structure light, and rewarding people who take ownership and drive momentum.

If you’re driven by applied AI, enjoy working in the future, and want to build data science solutions that make a real impact, we’d love to meet you.

Note: This position reflects an existing vacancy. B3 Systems is proud to be an Equal Employment Opportunity employer. We truly appreciate your interest in joining our team. While we may not be able to connect with every applicant, we will reach out directly to those selected for next steps. No “artificial intelligence” tool will be used to screening, assessment or selection of applicants for this opportunity.

We celebrate diversity and are committed to creating an inclusive, supportive workplace where everyone can thrive. If you require any accommodations or support at any stage of the selection process, please let us know - we’re happy to help.

Apply About employer

More about this job

Responsibilities

You will own the analytical data layer, designing schemas and pipelines that support analytics, APIs, and AI features. You will also drive communication across data teams to ensure a coherent, stable, and high-quality data architecture.

Requirements

The role requires 5+ years of production-proven data engineering experience with expert-level SQL and data modeling skills. Candidates must demonstrate self-sufficiency in architecture and the ability to build robust, scalable data pipelines.

Skills

Data Engineering
SQL
Data Modeling
Python
Azure
Data Architecture
Pipeline Engineering
API Design
Data Transformation
Database Schema Design
Performance Tuning
Monitoring
Alerting
Data Quality
Cloud Computing

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
AI
Data Science
SQL
Python
Azure SQL
Cosmos DB
Azure ML
Data Modeling
ETL
Data Pipelines
API
LLM
Data Architecture
Cloud Services
Manufacturing
Data Quality
Normalization
Indexing
CDC
Streaming
Analytics
Schema Design
Monitoring
Idempotency

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