Data engineer jobs in Canada

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Added 3 days ago
MD
Data Engineer - ITS3 or ITS4
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
Work Shift/Work Hours: Day Shift
Added 3 days ago
LI
Data Engineer
LanceSoft, Inc.
Montreal, QC
- $65 to $70 CAD / hour
- Contract
Strong hands-on experience in Python programming, including Pandas, NumPy, and data processing libraries.
Added 3 days ago
C
Senior AWS Data Engineer (Strong Databricks)
Ccube
Mississauga, ON
- Full-time
We are looking for a Senior AWS Data Engineer to design and lead scalable, secure, and high-performance cloud data platforms across AWS/Azure." in Mississauga, ON (Hybrid).
Added 3 days ago
E
Senior Data Engineer
E-IT
Toronto, ON
- Contract
Must have : SQL+ Datawarehouse+ Banking domain
Added 3 days ago
CS
Data Engineer
Cyber Space Technologies LLC
Toronto, ON
- Full-time
The Synapse Engineer (Remote) builds, optimizes, and maintains the Azure Synapse environment used to replace Alteryx workflows. The role implements pipelines, SQL transformations,…
Added 3 days ago
Senior Data Engineer
Capgemini
Mississauga, ON
Data Engineering Lead We are seeking a highly experienced Senior Data Engineering Lead with 8+ years of experience in modern data engineering, data warehousing, and data lake technologies…
Added 3 days ago
TC
Azure Data Engineer / Business Analyst
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Own the journey from business requirement to Azure data solution, translating business needs into scalable technical designs and deliverables.
Added 4 days ago
P
Senior Data Engineer (Lead)
Punt
Canada
- Full-time
We are looking for a Senior Data Engineer to join our Data Spine function. The team owns the canonical event contract, the warehouse, the certified data layer and the serving layer. Every…
Added 4 days ago
P
Data Engineer (Intermediate)
Punt
Canada
- Full-time
We are looking for a Data Engineer to join our Data Spine function - the team that owns the canonical event contract, the warehouse, and the serving layer that every other data function…
Added 4 days ago
P
Associate Data Engineer
Punt
Vancouver, BC
- Full-time
We are seeking an Associate Data Engineer to design, build, and maintain the core data pipelines and analytics models that power our platform. Working alongside senior engineers, you will…
Added 4 days ago
T
Data Engineer II
TD
Toronto, ON
- Full-time
Provide a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment…
Added 4 days ago
C
Senior Data Engineer
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 4 days ago
T
Data Engineer II
TD
Toronto, ON
- Full-time
Provide a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment…
Added 4 days ago
A
Data Engineer - MS Fabric & Azure Data Platform
Akkodis
Toronto, ON · Greater Toronto Area, Canada
- Contract
Work Model: Hybrid - Target / preference is 4 days onsite but is willing to be flexible (2 - 3 days per week)
Added 4 days ago
EM
Senior Consultant/Manager - Data Engineer
Electric Mind
Toronto, ON
- Full-time
We're looking for a developer to help build and maintain data pipelines on Databricks for a financial services/wealth management data platform. The platform ingests data from multiple…
Added 4 days ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
Hands-on data pipeline development, ingest patterns in Azure
Added 4 days ago
Senior Data Engineer
Capgemini
Vancouver, BC
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…
Added 4 days ago
AT
Data Engineer
Aarorn Technologies Inc
Toronto, ON
- $45 CAD / hour
- Contract
Strong hands-on experience with Snowflake and DBT for designing, developing, and maintaining scalable data solutions. (Must Have)
Added 4 days ago
T
Junior Data Engineer – Azure Databricks / ADF / PySpark
ThoughtStorm
Toronto, ON
- Contract
Hands-on experience developing data engineering solutions using Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Azure Databricks.
Added 4 days ago
T
Data Engineer - Databricks
Teqfocus
Toronto, ON
- Contract
…portfolio initiative built on Databricks and a curated Unified Data Layer…
Added 4 days ago
C
Senior AWS Data Engineer (Strong Databricks)
Ccube
Mississauga, ON
- $70 to $80 CAD / hour
- Full-time
We are looking for a Senior AWS Data Engineer to design and lead scalable, secure, and high-performance cloud data platforms across AWS/Azure." in Mississauga, ON (Hybrid).
Added 4 days ago
TI
Report Developer / Azure Data Engineer
Teckhorizon Inc
Toronto, ON
- Contract
Our Client is seeking a Report Developer / Azure Data Engineer to support enterprise data engineering, cloud integration, and analytics initiatives within the Ontario Data Platform (ODP).
Added 4 days ago
RI
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
Must have : SQL+ Datawarehouse+ Banking domain
Added 4 days ago
PS
Data Engineer
Prodigy Systems Inc.
Toronto, ON
- $90,000 to $100,000 CAD / year
- Contract
We are looking for a Data Engineer for a 1 year contract with the intention of converting to full time permanent. Role is hybrid with 2 days a week on site in Downtown Toronto.
Added 4 days ago
T
Data Engineer – Databricks & MDM
Teqfocus
Toronto, ON
- Contract
We are seeking a hands-on Data Engineer with 5+ years of experience to support data engineering and master data management initiatives. The ideal candidate brings practical Databricks…

Capgemini

Senior Data Engineer

Vancouver, BC, Canada

The base compensation range for this role in the posted location is $83,951 to $135,000.

Apply on careers.capgemini.com About employer

Applications open in a new tab.

Job details

Pay: The base compensation range for this role in the posted location is $83,951 to $135,000.
Apply by: Jan 1, 2027
Posting language: English
Posted: Nov 5, 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.

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

Responsibilities and essential job functions include but are not limited to the following:

Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data, data pipeline, and technology capabilities
Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines
Provide consultation and lead the implementation of complex programs
Develop and maintain documentation relating to all assigned systems and projects
Tune queries running over billions of rows of data running in a distributed query engine
Perform root cause analysis to identify permanent resolutions to software or business process issues"

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 involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.

The base compensation range for this role in the posted location is $83,951 to $135,000.

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 on careers.capgemini.com About employer

More about this job

Responsibilities

The role involves building and maintaining fault-tolerant, scalable data pipelines and infrastructure to support real-time and batch data processing. Additionally, the engineer will lead technical implementation, tune complex queries, and perform root cause analysis to resolve system issues.

Requirements

Candidates must possess expert-level knowledge in Spark, PySpark, and SQL, along with hands-on experience in Azure data services and orchestration tools like ADF or Airflow. Strong proficiency in denormalized data modeling for big data systems is required to ensure high-quality data delivery.

Skills

Spark
PySpark
Jupyter Notebooks
DataBricks
Data pipeline development
Azure
ADF
Airflow
SQL
Data modeling
Big data systems
Distributed query engine
Root cause analysis
Batch processing
Real-time data processing

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

Data Engineering
Spark
PySpark
Azure
ADF
Airflow
SQL
Data Modeling
Big Data
Distributed Systems
Cloud Computing
Data Pipelines
Batch Processing
Real-time Data
Jupyter Notebooks
DataBricks
Query Tuning
Root Cause Analysis
Software Engineering
Data Infrastructure
Consulting
Technology Transformation
AI
Generative AI
Data Analytics

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Data engineer jobs in Canada

Data Engineer - ITS3 or ITS4

Data Engineer

Senior AWS Data Engineer (Strong Databricks)