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Added 2 months 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 2 months ago
PC
Google Workspace Customer Engineer #116
Premier Cloud
Victoria, BC
- $80,000 to $115,000 CAD / year
- Full-time
Join Premier Cloud as a Google Workspace Customer Engineer
Added 2 months ago
L
GenAI Architect
Lantern
Vancouver, BC
- Full-time
We are seeking a visionary Architect with deep expertise in Generative AI to lead the design and delivery of intelligent solutions using the Microsoft Azure AI stack. You will work closely…
Added 2 months ago
TH
Software Engineer - Data Insights
Top Hat
Remote, Canada
- Full-time
- Remote
We’re searching for a Full Stack Engineer to join our Data Insights team!
Added 2 months ago
P
Senior Software Engineer- Big Data & Java
PointClickCare
Mississauga, ON
- $142,000 to $158,000 CAD / year
- Full-time
Generative AI Code Assistants - Use of Generative AI Code Assistants (e.g. Github Copilot) and knowledge of latest Generative AI Model capabilities would be an asset.
Added 2 months ago
Design Service Manager - Fire & Life Safety
Jensen Hughes
Mississauga, ON · Ottawa, ON
Professional Engineer (P.Eng.) designation or eligibility for licensure in Ontario.
Added 2 months ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
Lead Machine Learning Engineer – AI Innovation Teams
Added 2 months ago
S
Proposal and Application Specialist
Siemens
Oakville, ON
- Full-time
We are seeking a technical Application Engineer with proposal expertise to provide engineering support to our sales and design teams, focusing on medium voltage switchgear, power…
Added 2 months ago
C
Generative AI Engineer
Capgemini
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Generative AI Junior Developer at Capgemini, you'll leverage your expertise in large language models, agentic AI solutions, natural language processing algorithms, and software…
Added 1 month ago
W
Machine Learning Engineer - Financials
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a ML Engineer on the FIN Hyperautomation AI team, you will develop intelligent user experiences powered by advanced tools like (but not limited to) generative AI. You will work with…
Added 2 months ago
Consultant - Modernisation des applications | Consultant - Application Modernization, AWS Professional Services
Amazon
Montreal, QC
…notamment via les techniques de modernisation accélérées par l'IA générative (GenAI). Vous serez un acteur clé de la réussite des clients dans leur adoption du cloud, en apportant votre…
Added 2 months ago
Consultant senior - Modernisation des applications | Sr. Consultant - Application Modernization, AWS Professional Services
Amazon
Montreal, QC
…notamment via les techniques de modernisation accélérées par l'IA générative (GenAI). Vous serez un acteur clé de la réussite des clients dans leur adoption du cloud, en apportant votre…
Added 2 months ago
TG
Technical Architect, Google
TMX Group
Toronto, ON
- Full-time
…instrumental in driving secure, compliant, and high-impact enterprise generative AI adoption through…
Added 2 months ago
C
Senior Java Developer
CGI
Toronto, ON
- Full-time
…Value Payments with us! We are looking for a Senior Software Engineer to work on a broad range of…
Added 2 months ago
CE
In Service Project Engineer
Capgemini Engineering
Montreal, QC
- Full-time
Added 2 months ago
C
Senior Software Engineer, AI
Calabrio
Canada
- Full-time
Calabrio-Verint is looking for a highly skilled and experienced Senior Software Engineer, AI to perform a key role in our digital transformation program, and deliver exceptional customer…
Added 2 months ago
Production Support
Capgemini
Montreal, QC
COBOL / Production Support Engineer (Deposit Systems)
Added 2 months ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Artefact
Montreal, QC
Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from…
Added 2 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics
Canada
- Full-time
Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring…
Added 2 months ago
E
Founding AI Engineer
Eklan
Toronto, ON
- $75,000 to $113,000 USD / year
- Full-time
We are looking for an exceptional Founding AI Engineer to help build the technical foundation required to deliver this vision at global scale.
Added 2 months ago
SS
Senior Java Software Engineer
Soho Square Solutions
Montreal, QC
- Contract
Leverage Generative AI tools and coding assistants to enhance development velocity and solution quality.
Added 2 months ago
C
AI Engineer
Cambio
Kitchener, ON
- Full-time
We're looking for an AI Engineer to build AI-powered features, help teammates do their best work, and have fun doing it.
Added 2 months ago
FG
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology)
Fitch Group, Inc.
Toronto, ON
- Full-time
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology) Fitch Ratings is seeking an experienced Full-Stack Software Engineer (Associate Director) to join our…
Added 2 months ago
I
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
- Full-time
Added 1 month ago
EI
Senior Quality Engineer
Ecolab Inc.
Calgary, AB
- Full-time
The Senior Quality Engineer is a recognized subject‑matter expert and quality leader responsible for ensuring products consistently meet or exceed established quality, reliability, and…

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 About employer

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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 1, 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 datasets. Collaborate with stakeholders to deliver high-quality solutions and ensure data governance, security, and compliance standards are met.

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
Git
Data governance
Data quality
Automation
Scripting
Problem-solving
Communication

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

Google Cloud Platform
Data Engineer
BigQuery
DBT
SQL
Data warehousing
Python
Data pipelines
Data modeling
Data transformation
Git
Data governance
Data quality
Automation
Scripting
Cloud services
Data infrastructure
Computer Science
Information Systems
Version control
Data extraction
Data analysis
Consulting
Technology transformation
AI
Generative AI
Cloud
Data
Business intelligence
Scalability

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