Jobs in Canada

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Added 1 month ago
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Intermediate AI Engineer
nLogic
Cherry Point, AB
- Full-time
nLogic is seeking an Intermediate AI Engineer to support anticipated work on a mission-focused effort in the Cherry Point area. This role will play a key part in supporting artificial…
Added 1 month ago
SC
Spécialiste Tests V&V (Intermédiaire)
SII Canada
Montreal, QC
- Full-time
The Intermediate Electronics Validation and Test Engineer/Designer will be responsible for design, integration and commissioning of specialized electronic test equipment for testing mixed…
Added 1 month ago
KE
Structural Engineer Project Manager
KL Engineering Inc.
Saskatoon, SK
- Full-time
Intermediate Structural Engineer / Project Manager
Added 1 month ago
CO
Staff Software Engineer
Capital One
Toronto, ON
- $173,000 to $197,400 CAD / year
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer
Added 1 month ago
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Cyber Security Specialist
Thales
Fredericton, NB
- Full-time
Thales has a vacancy for a Cyber Security Specialist (Detection Engineer) is responsible for the prevention of Cybersecurity incidents by real-time monitoring, detection, and analysis of…
Added 1 month ago
HR
System Design Specialist, Intermediate
Hitachi Rail
Toronto, ON
- Full-time
The System Design Specialist, Intermediate will perform system design, signaling design, analysis, modelling, and simulation activities to specify Communication-Based Train Control (CBTC)…
Added 1 month ago
SI
Full Stack Engineer
Stelvio Inc.
Saskatoon, SK
- Full-time
We are Looking for a Intermediate Full stack Developer to join an established technology team.
Added 1 month ago
SI
Full Stack Engineer
Stelvio Inc.
Saskatoon, SK
- Full-time
We are Looking for a Intermediate Full stack Developer to join an established technology team.
Added 1 month ago
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Cloud Engineer 2, Site Reliability Engineering
Kinaxis Inc.
Ottawa, ON
- $79,500 to $95,000 CAD / year
- Full-time
We are seeking a Cloud Engineer II within the Site Reliability Engineering team to support the reliability, automation, and operational efficiency of the Kinaxis SaaS platform. In this…
Added 1 month ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 1 month ago
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Process Design Engineer/Analyst
Kinectrics
Toronto, ON
- Full-time
Added 1 month ago
Senior Data Engineer
Livingston International
Toronto, ON
…and optimize that movement. We're looking for a Senior Data Engineer to design, build, and scale the data infrastructure that powers logistics operations, transportation analytics,…
Added 1 month ago
GD
Software Test Specialist/Engineer
General Dynamics Land Systems–Canada
London, ON
- Full-time
Intermediate computer skills in MS Office, including Word, Excel and PowerPoint
Added 1 month ago
Pipeline Integrity Engineer, Risk
NDT Global Group
Calgary, AB
The goal of the Pipeline Integrity Engineer (PIE), Risk is to be responsible for performing data reviews, risk assessments, supporting the development and maintenance of risk algorithms,…
Added 1 month ago
RT
Senior Data Architect
Ripotek Technologies Inc.
Calgary, AB
- Full-time
SQL (advanced), Python or Scala (intermediate)
Added 1 month ago
RT
Azure Solutions Consultant
Ripotek Technologies Inc.
Calgary, AB
- Full-time
SQL (advanced), Python (intermediate), Scala (nice to have)
Added 1 month ago
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SDET (Intermediate)
Actalent
Waterloo, ON
- $40 to $50 CAD / hour
- Contract
This Software Development Engineer in Test (SDET) role focuses on designing, developing, and maintaining automated test scripts and tools in Python to validate new features for advanced…
Added 1 month ago
CO
Staff Software Engineer
Capital One
Toronto, ON
- $173,000 to $197,400 CAD / year
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer
Added 1 month ago
EG
Water Resources Engineer
Egis Group
Toronto, ON
- $85,000 to $115,000 CAD / year
- Full-time
Intermediate Water Resources Engineer based in Toronto supporting municipal infrastructure and land development projects. The role operates within multidisciplinary engineering teams…
Added 1 month ago
Intermediate Site Reliability Engineer
ContactMonkey
Toronto, ON
Our mission is to power measurable employee engagement worldwide, and we're looking for an Intermediate Site Reliability Engineer to join our Engineering team.
Added 1 month ago
EI
Water Resources Engineer
Egis in Canada
Toronto, ON
- $85,000 to $115,000 CAD / year
- Full-time
Intermediate Water Resources Engineer based in Toronto supporting municipal infrastructure and land development projects. The role operates within multidisciplinary engineering teams…
Added 1 month ago
EI
Water Resources Engineer, Land Development
Egis in Canada
AB · Edmonton, AB
- $85,000 to $115,000 CAD / year
- Full-time
We are currently hiring for an Intermediate Water Resources Engineer based in Edmonton supporting municipal infrastructure and land development projects. The role operates within…
Added 1 month ago
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Intermediate Software Engineer
AltaML
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
The Intermediate Software Engineer independently owns and delivers well-defined, small-to-medium complexity user stories end to end. You work AI-first by default: using Claude Code and…
Added 1 month ago
Google Cloud Platform (GCP) Data Engineer
Capgemini
Toronto, ON
Google Cloud Platform (GCP) Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be proficient in DBT (Data Build Tool) for data…
Added 1 month ago
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Senior Water Resources Engineer
Onterris
Calgary, AB · CAN-Alberta-Calgary
- Full-time
As an Senior Engineer in our Calgary office you’ll be responsible for assisting multiple projects where you will have increasing interaction with our multi-disciplinary staff, regulatory…

Capgemini

Google Cloud Platform (GCP) Data Engineer

Toronto, ON, Canada

The base compensation range for this role in the posted location is $110,000 to $120,000

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 $110,000 to $120,000
Apply by: Dec 1, 2026
Experience: 4-5 years of experience in data engineering or a similar role.
Posting language: English
Posted: Sep 29, 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.

Google Cloud Platform (GCP) Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be proficient in DBT (Data Build Tool) for data transformation and modeling. This role requires strong SQL skills, a solid understanding of data warehousing concepts, and light proficiency in Python for scripting and automation.

Key Responsibilities:

Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.

Develop and manage DBT models to transform raw data into clean, tested, and documented datasets.

Write complex and optimized SQL queries for data extraction, transformation, and analysis.

Implement and maintain data warehousing solutions, ensuring performance, scalability, and reliability.

Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.

Monitor and troubleshoot data pipeline performance and data quality issues.

Automate data workflows and tasks using Python scripts where necessary.

Ensure data governance, security, and compliance standards are met.

Required Qualifications:

Bachelor's degree in Computer Science, Information Systems, or a related field.

4-5 years of experience in data engineering or a similar role.

Strong expertise in SQL with the ability to write efficient, complex queries.

Proficiency in DBT for data modeling and transformation

Hands-on experience with BigQuery and other GCP data services.

Solid understanding of data warehousing principles and best practices.

Basic to intermediate skills in Python for scripting and automation.

Familiarity with version control systems like Git.

Excellent problem-solving and communication skills.

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 primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effectively to drive business outcomes.

The base compensation range for this role in the posted location is $110,000 to $120,000

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

Design, build, and maintain scalable data pipelines on GCP while developing DBT models to transform raw data into clean, tested datasets. Collaborate with stakeholders to ensure data quality and automate workflows using Python scripts.

Requirements

Requires a bachelor's degree in Computer Science or a related field and 4-5 years of experience in data engineering. Candidates must possess strong SQL skills, proficiency in DBT, and hands-on experience with BigQuery and GCP services.

Skills

Google Cloud Platform
BigQuery
Dbt
SQL
Data warehousing
Python
Data pipelines
Data modeling
Data transformation
Automation
Git
Data governance
Data quality
Troubleshooting
Communication skills
Problem-solving

Benefits

Paid time off
Company paid holidays
Personal days
Sick leave
Medical coverage
Dental coverage
Vision coverage
Retirement savings plans
401k
RRSP
Life insurance
Disability insurance
Employee assistance programs

Visa sponsorship

Not detected in the job text

Keywords

Google Cloud Platform
BigQuery
Dbt
SQL
Data Engineering
Data Warehousing
Python
Data Pipelines
Data Modeling
Automation
Git
Data Governance
Data Quality
Cloud Computing
Scripting
Data Transformation
Scalability
Reliability
Consulting
Technology Transformation

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Jobs in Canada