IT & data jobs in Canada

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

Counted Oct 5, 2026

Hiring at a glance

View jobs

Open jobs: 2,510
Employers: 1,303

Advertised starting pay

Average starting payCAD / year: $97,877Across 245 listings
Average starting payCAD / hour: $49.90Across 80 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%130 listings
Hybrid: 40%996 listings
On-site: 55%1,376 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 20 days ago
R
Testeur - Moteurs d'aeronef, Classe B / Tester - Aircraft Engines, Class B
Rolls-Royce
Montreal, QC
- Full-time
Added 20 days ago
J
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…
Added 20 days ago
A
Senior IT Systems Administrator
Acquird.io
Toronto, ON
- $90,000 to $120,000 CAD / year
- Full-time
Added 20 days ago
M
Senior Data Analyst I, Product
Mistplay
Toronto, ON
- Full-time
Added 1 month ago
UO
Senior Advanced Research Computing Systems Administrator
University of Victoria
Victoria, BC
- Internship
Added 20 days ago
J
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
- Full-time
…scalable infrastructure for AI agents, as well as optimize data processing and develop automated systems for model…
Added 1 month ago
JG
Technical Business Analyst - ERP Data Migration
J&M Group
Vancouver, BC
- Contract
Reporting to the ERP Data Lead, the Technical Business Analyst - ERP Data Migration will play a meaningful role in data readiness and data migration activities during the ERP implementation…
Added 20 days ago
AL
Experienced Technical Business Analyst
Acturis Limited
Victoria, BC
- Full-time
Added 21 days ago
RI
Data Scientist
Remarcable, Inc.
Remote, Canada
- $150,000 to $180,000 CAD / year
- Full-time
- Remote
…unmatched visibility and control. As we scale across North America, data is at the core of how we deliver on that…
Added 21 days ago
AV
IT Support Specialist
Adaria Vending Services Limited
Concord, ON
- Full-time
Added 20 days ago
H
Intermediate Business System Analyst
hireVouch
Toronto, ON · Greater Toronto Area, Canada
- $50 to $60 CAD / hour
- Contract
Added 21 days ago
AV
IT Support Specialist
Adaria Vending Services Limited
Concord, ON
- Full-time
Added 1 month ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Added 21 days ago
Regulatory Systems Analyst Co-op
Sonova AG
Kitchener, ON
Added 20 days ago
AL
AWS Cloud Data Engineer / Toronto, ON / Onsite / Full-Time (FTE)
AceStack LLC
Toronto, ON
- Full-time
We are seeking an experienced AWS Cloud Data Engineer with strong expertise in data engineering, data warehousing, and AWS cloud technologies. The ideal candidate will have hands-on…
Added 20 days ago
R
Senior Trading Systems Analyst – Bloomberg
Raise
Toronto, ON
- Contract
Added 20 days ago
J
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
- Full-time
Jobright is your personal AI job search agent transforming the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality…
Added 20 days ago
S
Lead Data Scientist
Sigmoid
Canada
- Full-time
Sigmoid unlocks business value for Fortune 1000 companies through expert data engineering, data science, and AI consulting. We solve complex challenges for leaders in CPG, Retail, BFSI, and…
Added 20 days ago
NE
Junior Business Data Analyst - Winter 2027 Co-op
Nexus Energy Inc.
Toronto, ON
- $20 to $22 CAD / hour
- Full-time
Job Title: Junior Business Data Analyst - Winter 2027 Co-op
Added 20 days ago
Kubernetes Systems Administrator – L3
Global Relay
Vancouver, BC
…solutions. We securely capture and preserve the communications data of the world’s most highly regulated firms, giving them greater visibility and control over their information and…
Added 1 month ago
FG
Machine Learning Engineer, Associate Director
Fitch Group, Inc.
Toronto, ON
- Full-time
Added 21 days ago
PX
Staff Machine Learning Engineer – AI & Agentic Systems
Project X Ltd.
Toronto, ON
- Full-time
…talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and Innovation, we value people who take ownership of…
Added 20 days ago
R
Data Scientist
Raise
Calgary, AB
- Full-time
Added 21 days ago
MU
Research Data Management Specialist
McGill University
Montreal, QC · Redpath Library
- Full-time
Added 21 days ago
CP
Data Analyst
Champion Petfoods
Edmonton, AB · CPE-Champion Petfoods Holding Inc. (Edmonton)
- Full-time
Champion Petfoods is expanding! We are excited to announce we are looking for a Data Analyst to join our rapidly growing company.

Raise

Data Scientist

Calgary, AB, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 14, 2026
Posting language: English
Posted: Sep 14, 2026

Original job description

Contract Length: 12 Months (with possible extension)
Work Type: Hybrid (Mon, Tues, Thurs in office / Weds, Fri at home)
Location: Calgary, AB or Edmonton, AB, or North York, ON

Raise is currently hiring a contract team member on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with an industry leader.

Note: The primary pay rate is based on T4 classification; however, we will also consider applications from candidates interested in an INC classification, where applicable.

Job Overview

Supply Chain Management (SCM) Data, Innovation & Analytics is seeking an experienced Data Scientist with strong Databricks expertise to design, develop, and operationalize scalable Supply Chain data products that drive measurable business value. This role combines advanced analytics, data engineering, data modeling, and product delivery capabilities to transform complex SCM data into trusted, governed, and actionable insights.
The successful candidate will work closely with Supply Chain stakeholders to develop innovative solutions that improve operational efficiency, supplier performance, spend visibility, and procurement decision-making. This position requires a strong understanding of supply chain processes, enterprise data platforms, and modern analytics technologies, with a particular focus on Databricks-based solutions.

Key Responsibilities

Develop and deliver analytics solutions that address Supply Chain business challenges by leveraging expertise in oil and gas operations, procurement, supplier performance management, spend analytics, and enterprise value drivers.
Design, build, test, and optimize scalable data models and ETL/ELT pipelines within Databricks using Python, PySpark, SQL, notebooks, workflows, and orchestration frameworks to support reliable Silver and Gold layer data products.
Transform, integrate, and model data from enterprise platforms including Oracle Cloud, SAP, Autonomous Data Warehouse (ADW), Microsoft Dataflow, Dataverse, and other approved data sources.
Create and operationalize data products that support reporting, analytics, predictive insights, and business process optimization.
Apply advanced analytics, machine learning, statistical modeling, and AI-assisted techniques where appropriate, including forecasting, classification, anomaly detection, text analytics, and natural language processing for both structured and unstructured SCM data.
Analyze unstructured data sets, such as purchase order line descriptions, supplier comments, and operational feedback, to uncover meaningful business insights and opportunities.
Utilize Databricks platform capabilities, including Notebooks, Workflows, Jobs, Unity Catalog, SQL Warehouses, Genie Code, and Lakeflow/Lakeflow Designer, to accelerate solution development while maintaining enterprise governance and technical standards.
Collaborate with business and technical stakeholders to gather requirements, define success criteria, and translate business needs into scalable analytical solutions.
Ensure data quality, integrity, performance, security, and governance across all developed solutions and data products.
Maintain comprehensive project and solution documentation, including opportunity assessments, business requirements, solution designs, technical specifications, test results, and status reports.
Communicate technical concepts, solution designs, project progress, and product outcomes to business stakeholders in a clear, concise, and non-technical manner.
Support continuous improvement initiatives by identifying opportunities to enhance Supply Chain processes, analytics capabilities, and data-driven decision-making.

Qualifications

5-7 years of relevant experience in Supply Chain Management, data analytics, data engineering, data science, or product development.
Bachelor's degree in Supply Chain Management, Commerce, Data Science, Engineering, Computer Science, Information Systems, or a related discipline.
Advanced proficiency in data science and analytics, including:

Statistical analysis
Predictive modeling
Machine learning
Sentiment analysis
Data visualization
AI-assisted analytics

Advanced experience analyzing and extracting insights from unstructured data sources, including purchase order descriptions, supplier communications, customer feedback, and operational records.
Expert-level proficiency in Python, PySpark, and Databricks for large-scale data processing and analytics solution development.
Hands-on experience with prompt engineering and the application of Generative AI technologies in enterprise environments.
Experience developing solutions using the Microsoft Power Platform, including:

Copilot Studio
Dataflow
Dataverse
Power Automate
Model-Driven Apps

Strong experience building workflow automation and low-code/no-code business solutions.
In-depth knowledge of SAP and Oracle Cloud modules, including Supply Chain Management, Accounts Payable, Projects, and Finance.
Advanced SQL skills for data transformation, modeling, and performance optimization.
Experience with Alteryx for data preparation, workflow automation, and analytics is considered an asset.
Strong understanding of the oil and gas industry.
Deep knowledge of Source-to-Pay (S2P) and Procure-to-Pay (P2P) processes, procurement operations, supplier management, and associated business value drivers.
Understanding of supply chain performance metrics, operational reporting, and strategic sourcing principles.
Experience working in Agile, Waterfall, or hybrid project delivery environments.
Strong stakeholder management, consultation, and communication skills.
Ability to lead discussions, facilitate requirements gathering sessions, and manage cross-functional collaboration.
Proficiency with project documentation and business communication tools, including PowerPoint, Excel, Visio, and related productivity applications.

Looking for meaningful work? We can help

Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.

We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.

We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: https://raise.jobs/accommodations/

To submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 800-567-9675 or hello@raiserecruiting.com.

#ENBC26

Apply About employer

More about this job

Responsibilities

The Data Scientist will design, develop, and operationalize scalable supply chain data products using Databricks to drive business value. They will collaborate with stakeholders to transform complex data into actionable insights through advanced analytics, machine learning, and data engineering.

Requirements

Candidates must have 5-7 years of experience in data science or supply chain management and hold a bachelor's degree in a relevant field. Expert-level proficiency in Python, PySpark, Databricks, and SQL is required, along with strong knowledge of oil and gas industry processes.

Skills

Databricks
Python
PySpark
SQL
Data Science
Data Engineering
Supply Chain Management
Machine Learning
Generative AI
Microsoft Power Platform
SAP
Oracle Cloud
Statistical Modeling
Data Visualization
ETL/ELT Pipelines
Prompt Engineering

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Python
PySpark
SQL
Supply Chain Management
Machine Learning
Generative AI
Microsoft Power Platform
SAP
Oracle Cloud
Data Engineering
Data Science
Oil and Gas
ETL
ELT
Unity Catalog
Prompt Engineering
Predictive Modeling
Sentiment Analysis
Agile
Waterfall
Procurement
Data Modeling
Business Intelligence
Data Governance
Alteryx
Copilot Studio
Dataverse
Power Automate
Source-to-Pay

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