IT & data jobs in Canada

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

Counted Oct 4, 2026

Hiring at a glance

View jobs

Open jobs: 2,523
Employers: 1,311

Advertised starting pay

Average starting payCAD / year: $97,701Across 248 listings
Average starting payCAD / hour: $49.89Across 81 listings
Average starting payUSD / year: $118,422Across 50 listings

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

Where work happens

Remote: 5%129 listings
Hybrid: 40%997 listings
On-site: 55%1,389 listings

Not specified: <1% (8 listings)

Employers hiring include J&M Group (38), TD (38), Amazon (35).

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 26 days ago
O
Senior Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Added 26 days ago
O
Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Added 1 month ago
W
L2 IT Support - NETE
Weir
Montreal, QC
- Full-time
Added 1 month ago
T
Technical Project Manager
Tesla
Markham, ON
- Full-time
Added 1 month ago
AS
Associate Customer Success Data Analyst
Apex Systems
Toronto, ON
- $55 to $80 USD / hour
- Contract
We're looking for an Associate Data Analyst to join our team. In this role, you'll be the primary data resource for our Enterprise Customer Success Management team - fielding incoming data…
Added 1 month ago
SS
Telephone and Nurse Call System Administrator
Sienna Senior Living
Markham, ON
- Full-time
Added 26 days ago
RB
Associate - Quantitative Analyst
Royal Bank of Canada
Toronto, ON
- Full-time
Added 25 days ago
IT Support Intern (Winter/January 2027, 8 Months)
Internship List
Waterloo, ON
Added 26 days ago
M
Senior Data Analyst I, Product
Mistplay
Toronto, ON · Montreal, QC
- Full-time
Added 26 days ago
Senior Data Engineer
Capgemini
Calgary, AB
Added 26 days ago
Integrated Services - Systems Analyst
F12.net
Edmonton, AB
Added 26 days ago
Velocity - Data Analyst Internship/Co-Op - Winter 2027
Scotiabank
Toronto, ON
Velocity – Data Analyst Internship/Co-Op – Winter 2027
Added 25 days ago
E|
Technical Support Engineer
EP | Central Casting
Burnaby, BC · Toronto, ON
- Full-time
Added 26 days ago
Velocity - Data Engineer Internship/Co-Op - Winter 2027
Scotiabank
Toronto, ON
Velocity - Data Engineer Internship/Co-Op – Winter 2027
Added 26 days ago
Velocity - Data Scientist Internship/Co-Op - Winter 2027
Scotiabank
Toronto, ON
Velocity - Data Scientist Internship/Co-Op – Winter 2027
Added 25 days ago
GT
Analyste fonctionnel SAP IBP MM – SAP IBP MM Functional Analyst
Groupe Touchette
Burlington, ON · QC
- Full-time
Added 26 days ago
M
Analyste principal(e) des systèmes d’affaires / Sr. Business Systems Analyst
McKesson
Montreal, QC
- Full-time
Added 1 month ago
M
Lead Technical Project Manager
MAP
Toronto, ON
- Full-time
Added 1 month ago
MN
Client Data Analyst II
Mosaic North America
Toronto, ON
- Full-time
The Client Data Analyst II (analyst) position is responsible for partnering with our clients and teams to drive their initiatives with strategy, analytics and actionable insights,…
Added 1 month ago
MN
Client Data Analyst II
Mosaic North America
Mississauga, ON
- Full-time
The Client Data Analyst II (analyst) position is responsible for partnering with our clients and teams to drive their initiatives with strategy, analytics and actionable insights,…
Added 26 days ago
GS
Platform Support Database Administrator III
Guidewire Software
Mississauga, ON · Toronto, ON
- Full-time
…excellence and transformative innovation in AI, cloud, and data to ensure every customer solution is reliable, performant, and compliant. You’ll join a collaborative, globally distributed…
Added 1 month ago
B
Business Systems Analyst
Bombardier
Dorval, QC
- Full-time
Added 1 month ago
P
Senior Data Engineer
Pomerleau
Montreal, QC
- Full-time
We are building a modern data platform to power our Business Intelligence, AI, and analytics initiatives. As a Senior Data Engineer, you will own the data foundation end to end: ingesting…
Added 27 days ago
RB
Data Engineer, RBC Amplify 2027, Toronto
Royal Bank of Canada
Toronto, ON
- Full-time
As a Data Engineer you will collaborate, innovate, ideate an
Added 27 days ago
RB
Data Engineer, RBC Amplify 2027, Halifax
Royal Bank of Canada
Halifax, NS
- Full-time
As a Data Engineer you will collaborate, innovate, ideate an

Hire DigITalent Inc.

Senior Data Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Oct 4, 2026
Posting language: English
Posted: Sep 4, 2026

Original job description

Our client is accelerating its digital transformation, running a modern data platform built on AWS and actively moving through a major Databricks implementation. The core objective is transforming data into actionable business products for marketing and promotions. The project team needs a seasoned Senior Data Engineer to help lead the charge, stabilize key deliverables, and guide our technical strategy. This is a critical engagement on a high-visibility, fast-paced project where both strong technical hands-on capability and sharp soft skills are essential.

This is a 6 month contract to start, with 3 days in office.

Key Responsibilities

Solve foundational data engineering and Medallion architecture (Bronze/Silver/Gold) challenges on AWS Databricks, building a robust ingestion framework for diverse, high-volume datasets.
Apply practical data modeling principles to streamline data layer creation. Resolve internal debates around model structures and determine optimal ways to structure collection and transactional data for business use.
Standardize, productionize, and build automated, reusable ML Pipelines. Partner with Data Scientists (who come from non-software engineering backgrounds) to convert standalone models into scalable, production-grade assets.
Cut through complexity and prevent scope creep ("boiling the ocean"). Evaluate why specific data products are being built, establish clear MVP boundaries, and guide the team on what to tackle first, second, and third.
Provide guidance, architectural direction, and hands-on mentorship to internal team members, elevating overall data engineering standards.
Use exceptional communication skills and political acumen to navigate strong, diverse internal opinions, aligning business, technical, and consulting stakeholders toward cohesive technical decisions.

Required Skills & Qualifications

Proven track record running, building, or enterprise-scaling data platforms in AWS environments.
Deep expertise in the Databricks ecosystem running natively on AWS (PySpark, Delta Lake, MLflow, Delta Live Tables).
Practical understanding of dimensional modeling, Medallion architecture, and schema design for analytics. Ability to make pragmatic modeling decisions.
Demonstrated success creating productionized, reusable machine learning pipelines and assisting Data Scientists with code modularization, CI/CD, and pipeline orchestration.
Ability to look at data engineering through a product lens - evaluating business utility, setting realistic roadmaps, and delivering incremental value.
Proven capacity to manage conflicting viewpoints, build consensus among strong technical and business voices, and clearly articulate trade-offs.

Apply About employer

More about this job

Responsibilities

Lead the implementation of a modern data platform on AWS Databricks using Medallion architecture to create actionable business products. Partner with data scientists to productionize ML pipelines and provide architectural guidance to the internal team.

Requirements

Requires deep expertise in the Databricks ecosystem on AWS and a proven track record of scaling enterprise data platforms. Candidates must possess strong pragmatic data modeling skills and the ability to align diverse stakeholders toward technical decisions.

Skills

AWS
Databricks
PySpark
Delta Lake
MLflow
Delta Live Tables
Medallion Architecture
Dimensional Modeling
ML Pipelines
CI/CD
Pipeline Orchestration
Data Modeling
Schema Design
Stakeholder Management
Technical Leadership
Product Mindset

Visa sponsorship

Not detected in the job text

Keywords

AWS
Databricks
PySpark
Delta Lake
MLflow
Delta Live Tables
Medallion Architecture
Bronze/Silver/Gold
Dimensional Modeling
ML Pipelines
CI/CD
Pipeline Orchestration
Data Engineering
Data Products
MVP
Schema Design
Digital Transformation
Cloud Computing
Big Data
Software Engineering
Stakeholder Management
Technical Strategy
Data Modeling
Enterprise Scaling
Product Lens

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