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Added 3 months ago
PI
Data Platform Engineer
Princeton IT Services, Inc
Toronto, ON
- Full-time
Design and develop Snowflake-native applications including Snowpark (Python), stored procedures, tasks, streams, and dynamic tables to support day-end processing engines that run natively…
Added 3 months ago
ES
Machine Learning Engineer - Express Scripts Canada
Express Scripts Pharmacy Benefit Services
Mississauga, ON
- Full-time
Express Scripts Canada is looking for a Machine Learning Engineer to join our Team. The successful candidate will design, build, and operate data pipelines and ML services that detect…
Added 2 months ago
D
Senior DevOps Engineer
DataStealth
Mississauga, ON
- Full-time
We are looking for a skilled DevOps Engineer to join our team and help streamline software delivery, infrastructure management, and system reliability. You will work closely with the rest…
Added 2 months ago
S&
Lead Substation Engineer 1 - Grid
Sargent & Lundy
Calgary, AB
- Full-time
This position will offer you the ability to directly apply your knowledge of protective relaying and controls systems for HV and EHV substations. As a Lead Substtion Engineer, you will:
Added 2 months ago
S1
Full-Stack Machine Learning Engineer
Signal 1
Toronto, ON
- Full-time
- Depth in AI and backend engineering: strong Python for services and ML pipelines, working fluency with cloud infrastructure and CI/CD, and a working understanding of frontend development…
Added 2 months ago
CO
Staff Software Engineer
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer
Added 2 months ago
M
Senior Software Engineer - Brokerage Platform
moomoo
Remote, Canada
- Full-time
- Remote
We are looking for an experienced Senior Software Engineer to join our engineering team in Toronto.
Added 2 months ago
E
Développeur logiciel en support à la recherche sur les menaces / Threat Research Software Engineer (m/f/n)
ESET
Montreal, QC
- Full-time
Expérience en Python et JavaScript, avec une expérience démontrée dans la conception, le développement et la maintenance de systèmes Python assortis d’une réelle responsabilité…
Added 2 months ago
C
Member of Technical Staff, Agentic Environments
Cohere
Remote, Canada
- Full-time
- Remote
…achieve for production environments, and we're seeking a senior engineer who understands the practical challenges of making AI systems work at scale. This role demands deep technical…
Added 3 months ago
A
Automation (Python) ClickHouse QA Engineer (Security Focus)
Altinity
Remote, Canada
- $70,000 to $100,000 USD / year
- Full-time
- Remote
Altinity is looking for a great Automation (Python) QA Engineer with a security focus to help us deliver high-quality analytic data services across all environments and address emerging…
Added 3 months ago
F
R2026-297 Senior Software Engineer
Flywheel
Toronto, ON
- Full-time
As a Senior Software Engineer - Full Stack with Perpetua, you will contribute to our core platform built primarily with Python, Django, React, TypeScript, BigQuery, and GCP. You will help…
Added 3 months ago
W
Software Engineer III - Visual AI Technology
Wayfair
Toronto, ON
- $192,047 to $211,914 CAD / year
- Full-time
…visual experiences for millions of customers. As a Software Engineer III on this team, you will build and maintain the core systems, APIs, and ML infrastructure that power our generative…
Added 3 months ago
PI
Senior Snowflake Engineer
Princeton IT Services, Inc
Toronto, ON
- Full-time
Data Engineer with strong expertise in ETL development, building Snowflake data pipelines, SQL, Python, and scalable data engineering solutions.
Added 3 months ago
PI
Java Lead Engineer / Architect - Agentic AI
Princeton IT Services, Inc
Toronto, ON
- Full-time
Job Title: Java Lead Engineer / Architect Agentic AI
Added 3 months ago
A
DFT Design Engineer
AMD
Markham, ON
- $128,000 to $192,000 USD / year
- Full-time
Deliver Perl, python, TCL scripts that provide scalable solutions key to DFT implementation
Added 2 months ago
CP
Databricks Architect | Canada
Cuesta Partners
Remote, Canada
- $180,000 to $225,000 USD / year
- Full-time
- Remote
Strong proficiency in PySpark, Spark SQL, Python, and SQL.
Added 2 months ago
CA
Frontend Software Engineer
Cambio AI Inc.
Remote, Canada
- Full-time
- Remote
As a Frontend Engineer at Cambio, you will play a critical role in crafting and implementing our software platform's user interface. Your mission will be to build intuitive, responsive, and…
Added 2 months ago
L
Director of Engineering
Lazer
Remote, Canada
- Full-time
- Remote
Strong full stack depth with TypeScript, React, Node.js, Python or Go.
Added 2 months ago
F
Expert Observability Engineer
Finastra
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Observability Engineer to lead and evolve our monitoring and observability capabilities across complex, hybrid environments. This role…
Added 2 months ago
A
Senior Site Reliability Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are seeking a highly motivated and experienced Senior Site Reliability Developer (SRE) to manage critical cloud infrastructure and site reliability operations for the Autodesk Platform…
Added 2 months ago
RB
Staff Engineer – Software Development, Architecture, Security & Governance
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking a highly skilled and experienced Staff Engineer to join our Enterprise Architecture team, leveraging their expertise in full-stack development, backend engineering, API…
Added 1 month ago
Senior GCP Data Engineer
Capgemini
Mississauga, ON
Proficiency in SQL, Python, Java/Scala, and distributed systems (Spark, Beam). GCP Expertise: Hands-on with BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform. DevOps:…
Added 1 month ago
GS
Senior Software Engineer
Guidewire Software
Mississauga, ON · Toronto, ON
- Full-time
As a Senior Full‑Stack Software Engineer, you will design and build elegant, high‑impact capabilities for insurance content transformation and modeling, advancing Guidewire’s shift toward…
Added 3 months ago
E
Senior Backend Engineer, Entities
EvenUp
Toronto, ON
- $184,728 to $249,926 USD / year
- Full-time
Engineering Excellence: Develop high-quality, maintainable code using a modern tech stack (Python, Postgres, Kubernetes, Elasticsearch).
Added 3 months ago
Q-
DevOps - MLOps engineer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for a DevOps - MLOps engineer for one of our clients.

Capgemini

Senior GCP Data Engineer

Mississauga, ON, Canada

The base compensation range for this role in the posted location is $120,387 to $140,357

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Job details

Pay: The base compensation range for this role in the posted location is $120,387 to $140,357
Apply by: Dec 1, 2026
Posting language: English
Posted: Sep 9, 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.

Required Skills Technical:

Proficiency in SQL, Python, Java/Scala, and distributed systems (Spark, Beam). GCP Expertise: Hands-on with BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform. DevOps: Familiarity with CI/CD, Git, and infrastructure-as-code.

Nice to Have

GCP Certifications (e.g., Professional Data Engineer). Experience with real-time processing, Vertex AI, or multi-cloud environments. Key Responsibilities Pipeline Development: Build and optimize ETL/ELT pipelines using Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub, and Cloud Functions.

Data Infrastructure: Architect and manage BigQuery, Cloud Storage, and Data Fusion for efficient data ingestion, transformation, and storage.

Team Leadership: Mentor junior engineers, review code, and establish data engineering standards, CI/CD, and monitoring (e.g., Cloud Monitoring, Logging). Performance & Cost: Optimize pipeline performance, query efficiency, and GCP cost management (e.g., slot reservations, partitioning).

Collaboration: Work with data architects, scientists, and analysts to deliver self-service data platforms and support advanced analytics/ML use cases.

Data Quality & Governance: Implement data validation, lineage, and metadata management (e.g., Data Catalog, dbt).

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 $120,387 to $140,357

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

The role involves building and optimizing ETL/ELT pipelines while managing data infrastructure such as BigQuery and Cloud Storage. Additionally, the engineer will lead a team, establish data standards, and collaborate with stakeholders to support analytics and machine learning initiatives.

Requirements

Candidates must possess proficiency in SQL, Python, Java/Scala, and distributed systems like Spark and Beam. Hands-on expertise with GCP services including BigQuery, Dataflow, and Terraform is required, along with experience in DevOps practices.

Skills

SQL
Python
Java
Scala
Spark
Beam
BigQuery
Dataflow
Dataproc
Pub/Sub
Composer
Airflow
Terraform
CI/CD
Git
Data engineering

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

GCP
Data Engineering
SQL
Python
Java
Scala
Spark
Apache Beam
BigQuery
Dataflow
Dataproc
Pub/Sub
Cloud Composer
Airflow
Terraform
CI/CD
Git
Infrastructure-as-code
Vertex AI
Data Fusion
Cloud Monitoring
Data Catalog
dbt
ETL
ELT
Data Governance
Cloud Storage
Machine Learning
Data Pipelines
Distributed Systems

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