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Added 54 mins ago
SH
Applied AI Software Engineer
SE Health
Markham, ON
- Full-time
…Node.js, including React and Next.js or equivalent, as well as Python, backed by relational databases with row-level security, versioned schema migrations, and immutable audit…
Added 2 hours ago
Sr SDET– Firmware Automation
Lightmatter
Toronto, ON
At Lightmatter, an SDET is a software engineer first , not a QA coordinator or manual tester. You'll design and build the frameworks, harnesses, and hardware-in-the-loop infrastructure that…
Added 2 hours ago
L
Sr SDET– Firmware Automation
Lightmatter
Toronto, ON
- Full-time
At Lightmatter, an SDET is a software engineer first , not a QA coordinator or manual tester. You'll design and build the frameworks, harnesses, and hardware-in-the-loop infrastructure that…
Added 2 hours ago
HL
Senior SWE - Python / TypeScript
Hyper Lychee Labs
Canada
- Contract
We're looking for a high-taste engineer with a strong eye for quality, someone who's worked hands-on with preference data and rubric creation, and knows what separates a good example from a…
Added 3 hours ago
Q
Sr Staff/Principal DevOps Engineer, Machine Learning Infrastructure and Performance
Qualcomm
Markham, ON
- Full-time
Python testing: pytest, pytest-xdist, integration tests, and performance reporting (with run-to-run variation).
Added 4 hours ago
N
Software Engineer - AI/Inference /Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Experience building applications with Go and Python
Added 5 hours ago
Senior Network Monitoring Engineer
Rogers Communications
Montreal, QC
Practical scripting and automation experience, preferably with Python, Bash, PowerShell, or similar technologies.
Added 5 hours 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 5 hours ago
M
Senior software engineer: Applied AI
Morningstar
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 5 hours ago
M
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 5 hours ago
TT
Digital Controls Technical Specialist
Trane Technologies
Montreal, QC
- Full-time
…BrainBox AI, Nuvolo, and more - combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether…
Added 6 hours ago
CL
Data Engineer
Codd Labs
Toronto, ON
- Contract
- Strong experience building data pipelines with Python and SQL.
Added 6 hours ago
W
Senior / Staff Software Engineer, Motion Planning
Waabi
Toronto, ON
- $158,000 to $269,000 USD / year
- Full-time
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's…
Added 6 hours ago
A
Systems Validation Engineer - Data Center GPU
AMD
Markham, ON
- $84,000 to $126,000 USD / year
- Full-time
As a Systems Validation Engineer within the Datacenter and GPU Accelerated Processing division, you will execute on SOC and system/rack level validation, triage and debug for the AMD Data…
Added 6 hours ago
C
Senior QA Automation – SDET
CGI
Toronto, ON
- Full-time
CGI is seeking an experienced Senior QA Automation Engineer to join our growing Quality Engineering team. This is a hands-on role for a quality engineering professional with strong…
Added 8 hours ago
R&
Site Reliability Specialist
Robertson & Company Ltd.
Toronto, ON
- Contract
Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management,…
Added 9 hours ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Ottawa, ON
- $85,000 to $110,000 CAD / year
- Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 9 hours ago
BO
Canada | Toronto | Global Technology Summer Analyst - Software Engineer | 2027
Bank of America
Toronto, ON
- Volunteer
…and clients can effectively manage their finances and bank with us anytime,…
Added 9 hours ago
T
Infrastructure Engineer
taq
Markham, ON
- Full-time
Infrastructure Engineer responsible for filling a critical gap in managing and securing AWS-focused infrastructure with legacy VMware migration, emphasizing automation, patch management,…
Added 10 hours ago
TI
2027 Accelerated Development Program - BrainBox AI
Trane Italia
Montreal, QC
- Full-time
Added 10 hours ago
TI
Software Engineer III
Trane Italia
Montreal, QC
- Full-time
…BrainBox AI, Nuvolo, and more - combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether…
Added 10 hours ago
TI
AI Controls Engineer
Trane Italia
Montreal, QC
- Full-time
…BrainBox AI, Nuvolo, and more - combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether…
Added 10 hours ago
TI
Digital Controls Technical Specialist
Trane Italia
Montreal, QC
- Full-time
…BrainBox AI, Nuvolo, and more - combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether…
Added 10 hours ago
SM
ML Engineer, Trust & Safety [Hapiko]
Spin Master Ltd
Toronto, ON
- Full-time
Please Note: If you are a current Spin Master employee with access to Workday, apply to this job via the Workday application.
Added 10 hours ago
SM
ML Engineer, Character Models [Diffusion] - Hapiko
Spin Master Ltd
Toronto, ON
- Full-time
Partner with our ML Serving engineer to get new products into production, and with our Trust Safety engineer so they're safe for kids from day one.

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

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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.

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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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