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Added 1 month ago
PI
Senior Site Reliability Engineer
PENN Interactive
Canada
- Full-time
The SRE team at PENN Entertainment is looking for a Senior Site Reliability Engineer to help build and operate the infrastructure behind a large-scale sports betting and media platform.…
Added 1 month ago
EE
GTM Engineer (Lead)
Edgecom Energy
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
SQL, Python, or BI tools for reporting automation.
Added 1 month ago
I
DevOps Engineer
Infosys
Mississauga, ON
- Full-time
Min 5 years in DevOps / Cloud engineering Hands-on AWS deployment and automation experience
Added 1 month ago
SIEM / SOAR Engineer
SIA Innovations INC
Montreal, QC
We are seeking an experienced Cortex XSIAM Engineer to join our cybersecurity team. This role is pivotal in deploying, managing, and optimizing our Cortex XSIAM environment to enhance our…
Added 1 month ago
C
Senior DevOps Engineer (Python & GitHub Platform) - Hybrid
Cognizant
Halifax, NS
- $49,000 to $95,500 CAD / year
- Full-time
Develop automation solutions using Python scripting for operational tasks, infrastructure management and DevOps workflows
Added 1 month ago
D
AI Research Engineer
Deloitte
Toronto, ON
- Full-time
We are looking for a passionate AI Research Engineer to join our team. You will work at the intersection of cutting-edge AI research and product engineering - designing, evaluating, and…
Added 1 month ago
HT
Engineer - RF & Antenna
Huawei Technologies Canada Co., Ltd.
Ottawa, ON
- Full-time
Programming: Strong Python and MATLAB for simulation control, test automation, and data analysis.
Added 1 month ago
X
Lead Engineer - AI Workflows
Xero
Vancouver, BC
- Full-time
As a Lead Engineer within the Internal AI Accelerator Squad, you will be at the forefront of Xero’s transformation into an AI-native company. You will act as a forward-deployed engineer,…
Added 1 month ago
S
Senior DevOps Engineer
SOVRA
Remote, Canada
- Full-time
- Remote
SOVRA is adding a Senior DevOps Engineer to support the engineering team responsible for its public sector platform. This role was created to meet the operational demands of a growing cloud…
Added 1 month ago
V
Staff Infrastructure Engineer
VGS
Canada
- Full-time
Automation & Scripting: Strong coding skills in Python, Go, or Bash to automate infrastructure and build operational tools.
Added 1 month ago
H
Senior Full Stack Engineer - Chief Technology Officer (CTO) - Platform Engineer
HSBC
Toronto, ON
- Full-time
Join Chief Technology Officer (CTO) Platforms as a Senior Full Stack Engineer focused on app.hsbc with end-to-end responsibility for one or more platform products and services. This is a…
Added 1 month ago
F
AVEVA PI Systems Engineer
fortil
Montreal, QC
- Full-time
As part of the development of our industrial engineering activities, we are looking for an AVEVA PI Systems Engineer to support our clients in the implementation, integration, and…
Added 1 month ago
SC
Principal Engineer, CAD
SiTime Corporation
Ottawa, ON
- Full-time
The Principal Engineer, CAD will provide CAD Software support for Digital, Analog and Mixed-Signal designs, using Cadence, Synopsys, Siemens, Keysight & 3rd party vendor tools.…
Added 1 month ago
FF
Senior Application Security Engineer
Forward Financing
Remote, Canada
- $145,000 to $183,000 USD / year
- Full-time
- Remote
As a Senior Application Security Engineer, you'll find the vulnerabilities in Forward Financing's software before an attacker does. You'll pentest our core systems along with the AI systems…
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
Modern Workplace Engineer - Intune & Endpoint Management
Scotiabank
Toronto, ON · Scarborough, ON
The Role: Intune Automation Engineer - AI & Modern Workplace
Added 1 month ago
SI
Principal Physical Design Methodology Engineer
Synopsys Inc
Markham, ON
- Full-time
Solid scripting skills in Tcl and Python for flow automation, analysis, and reporting
Added 1 month ago
MC
Staff Software Engineer
Moody's Corporation
Toronto, ON
- Full-time
Strong proficiency in C++ and Python; additionally, experience with GPU-accelerated computing preferred
Added 1 month ago
Summer 2027 Long Term AGS Libraries Intern/Co-op
Advanced Micro Devices, Inc
Calgary, AB
…generation of AMD hardware. You will be working with code in C++ and Python, and you will get hands on and dirty with our chips, learning how they work at the lowest…
Added 1 month ago
RI
Full Stack Developer (Student Co-op)
Remarcable, Inc.
Vancouver, BC
- Internship
Coursework or experience with Python (bonus if you have touched Django).
Added 1 month ago
Integration Engineer - SHIFT
Mariner
AB · NB
Proficiency in Python and Linux scripting to support integration and automation activities.
Added 1 month ago
GM
Staff Engineer, Site Reliability Engineering
General Motors
Markham, ON
- Full-time
We are seeking a Staff Engineer to help make GM’s data platforms reliable, observable, operable, and scalable. This is a senior technical leadership role for someone who can move…
Added 1 month ago
AI Applied Engineer, Business Solutions
OpenTable
Toronto, ON
The Applied AI Engineer, Business Solutions combines business acumen with software and data engineering skills to solve high-impact problems through AI. This position requires excellent…
Added 1 month ago
D
Senior Software Engineer
Deltek
Calgary, AB
- $100,000 to $120,000 CAD / year
- Full-time
Deltek is looking for a Senior Software Engineer to join our established Replicon Core team, a tight-knit group of full-stack developers, architects, and rising talent building products…
Added 1 month ago
C
Infrastructure Operations Engineer-EN
CAE
Montreal, QC
- Full-time
The ideal candidate is not only a traditional systems administrator. They are an infrastructure engineer who thinks in terms of platforms, automation, reliability and scalable operating…

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 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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