IT & data jobs in Canada

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

Counted Nov 2, 2026

Hiring at a glance

View jobs

Open jobs: 4,539
Employers: 1,997

Advertised starting pay

Average starting payCAD / year: $96,216Across 405 listings
Average starting payCAD / hour: $50.19Across 305 listings
Average starting payUSD / year: $121,177Across 59 listings
Average starting payUSD / hour: $48.05Across 18 listings

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

Where work happens

Remote: 4%186 listings
Hybrid: 38%1,727 listings
On-site: 58%2,612 listings

Not specified: <1% (14 listings)

Employers hiring include TD (79), S M Software Solutions Inc (64), J&M Group (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 10 days ago
DW
Application Support Analyst
Durabuilt Windows & Doors
AB · Edmonton, AB
- Contract
Added 10 days ago
L
Data Engineer
Luxoft
Canada
- Full-time
…PostgreSQL, Snowflake and AWS. We're looking for an autonomous data engineer to strengthen our data foundation through good modeling,…
Added 10 days ago
T
Applied Machine Learning Scientist I ATH# 5645 (Tabular Deep Learning Model Validation)
TD
Toronto, ON
- Full-time
Added 10 days ago
SM
RQ00762 – Systems Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…Microsoft Dynamics AX/D365 Finance and Operations (D365FO)/C365CM, Data Management Framework (DMF), system integrations, Microsoft Power Platform, Power Apps, Power Pages, and Dataverse.…
Added 10 days ago
BB
Data Engineer
Breathaplasta by Adaptavate
Montreal, QC · Urban agglomeration of Montreal, QC
- Full-time
Added 10 days ago
B
Business Intelligence Specialist - Oracle
Bevertec
Toronto, ON
- $90 to $95 CAD / hour
- Contract
Overview: Senior Business Intelligence Specialist with strong Oracle experience to support a Clinical Reporting and Data Exchange Program. The resource will develop the data integration and…
Added 10 days ago
AT
Senior Data Engineer
Arkhya Tech Inc.
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 10 days ago
S
ServiceNow - Systems Administrator (CSA certification required)
SPECTRAFORCE
Toronto, ON
- $56 CAD / hour
- Contract
Added 10 days ago
Machine Learning Engineer
Opendoor
Toronto, ON
Added 10 days ago
O
Data Scientist
Opendoor
Toronto, ON
- $169,600 to $233,200 USD / year
Opendoor is transforming residential real estate, one of the largest and most complex markets in the world, using data at massive scale. Data science is central to how we build produc
Added 10 days ago
Application Security Engineer
Opendoor
Toronto, ON
Added 10 days ago
D
Data Engineer
DarkVision
North Vancouver, BC
- $70,000 to $110,000 CAD / year
DarkVision is seeking a Data Engineer to join our Imaging & AI team. You will contribute to multiple data pipelines that provide operational intelligence, underpin machine learning models,…
Added 10 days ago
IT Systems Administrator
DarkVision
North Vancouver, BC
Added 10 days ago
T
WORKDAY HR Reporting & Systems Analyst
TEEMA
Toronto, ON
- $80,000 to $100,000 CAD / year
- Full-time
Added 10 days ago
Lead Data Engineer
Capgemini
Vancouver, BC
We are seeking an experienced Databricks Data Engineer to design, develop, and maintain scalab
Added 10 days ago
Lead Data Engineer
Capgemini
Vancouver, BC
We are seeking an experienced Databricks Data Engineer to design, develop, and maintain scalab
Added 10 days ago
J
Software Development Manager - Growth
Jane
Remote, Canada
- Full-time
- Remote
Added 10 days ago
NF
Senior Data Scientist
Northbridge Financial
Toronto, ON
- Full-time
- Other
What it’s like to be a Northbridge Senior Data Scientist
Added 10 days ago
B
Transportation Performance and Data Analyst
BRP
Saint-Philippe, QC
- Full-time
We are seeking a highly analytical and results-driven Transportation Performance and Data Analyst to support our transportation operations through data analysis, performance measurement,…
Added 10 days ago
C
AI Data Engineer
Citi
Mississauga, ON
- Full-time
We are seeking a highly motivated AI Data Engineer to design, develop, and deploy AI-powered applications and agentic solutions that enhance business processes and client delivery…
Added 10 days ago
T
Senior Data Architect
Tekshapers
Toronto, ON
- Full-time
14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
Added 10 days ago
CI
Onsite IT Support Technician - Contract
Compugen Inc
Niagara Falls, ON
- Contract
Added 10 days ago
Senior Data Engineer
Capgemini
Vancouver, BC
Added 10 days ago
Technical Project Manager - Montreal (m/f/d)
Nordex Group
Montreal, QC
Added 10 days ago
P
Senior Data Scientist
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
You will turn complex data from multiple products, partners, and loyalty members into better decisions, building models that directly influence offers, pricing, and customer targeting. You…

Capgemini

Lead Data Engineer

Vancouver, BC, Canada

The base compensation range for this role in the posted location is $150,405 to $175,908

Apply About employer

Applications open in a new tab.

Job details

Pay: The base compensation range for this role in the posted location is $150,405 to $175,908
Apply by: Dec 1, 2026
Posting language: English
Posted: Oct 13, 2026

Original job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

We are seeking an experienced Databricks Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong expertise in **Databricks, PySpark, Python, SQL, Delta Lake, and cloud technologies (Azure/AWS)**, with experience building enterprise-scale data solutions that support analytics, reporting, and machine learning workloads.

Key Responsibilities

Design, develop, and optimize scalable ETL/ELT pipelines using **Databricks and PySpark**.
Build and maintain data ingestion frameworks for batch and real-time data processing.
Develop data models and implement data transformation logic using **SQL and Python**.
Leverage **Delta Lake** for data management, data quality, and performance optimization.
Implement data orchestration workflows using tools such as **Azure Data Factory, Airflow, or Databricks Workflows**.
Collaborate with data architects, analysts, data scientists, and business stakeholders to understand requirements and deliver solutions.
Optimize Databricks jobs and Spark applications for performance, scalability, and cost efficiency.
Implement data governance, security, and compliance best practices.
Monitor and troubleshoot production data pipelines and provide support for critical issues.
Participate in code reviews, documentation, and knowledge-sharing activities.

Technical Skills

Strong/expert Spark (PySpark) Using Jupyter Notebooks, Colab or DataBricks (preferred) Hands-on data pipeline development, ingest patterns in Azure Orchestration tools, ADF or Airflow SQL Denormalized Data modeling for big data systems"

Job Description

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.

Job Description - Grade Specific

The role involves leading and managing a team of data engineers, defining and executing the data engineering strategy, and ensuring the effective delivery of data solutions. They provide technical expertise, drive innovation, and collaborate with stakeholders to deliver high quality, scalable, and reliable data infrastructure and solutions.

The base compensation range for this role in the posted location is $150,405 to $175,908

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Apply About employer

More about this job

Responsibilities

The Lead Data Engineer will design, develop, and optimize scalable ETL/ELT pipelines while managing a team to execute data engineering strategy. They are responsible for building reliable data infrastructure and collaborating with stakeholders to deliver high-quality, scalable data solutions.

Requirements

Candidates must have strong expertise in Databricks, PySpark, Python, SQL, and Delta Lake, along with experience in cloud technologies like Azure or AWS. The role requires hands-on experience in data pipeline development, data modeling, and orchestration tools such as ADF or Airflow.

Skills

Databricks
PySpark
Python
SQL
Delta Lake
Azure
AWS
ETL/ELT pipelines
Data modeling
Azure Data Factory
Airflow
Data governance
Data security
Spark
Jupyter Notebooks
Big data systems

Benefits

Paid time off
Company paid holidays
Personal days
Sick leave
Medical coverage
Dental coverage
Vision coverage
Retirement savings plans
Life insurance
Disability insurance
Employee assistance programs

Visa sponsorship

Not detected in the job text

Keywords

Databricks
PySpark
Python
SQL
Delta Lake
Azure
AWS
ETL
ELT
Data Engineering
Data Pipelines
Cloud Platforms
Data Modeling
Azure Data Factory
Airflow
Data Governance
Data Security
Spark
Jupyter Notebooks
Big Data
Machine Learning
Analytics
Reporting
Data Ingestion
Performance Optimization
Leadership
Strategy
Compliance
Infrastructure
Consulting

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