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Added 13 days ago
Software Engineer II, Machine Learning - Slack
Slack
Toronto, ON · Canada - Toronto
Full-time
Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
Added 15 days ago
Senior Data Engineer - Halifax
Royal Bank of Canada
NS · BEDFORD, Nova Scotia
Full-time
5+ years of application development experience in Spark or Hadoop, and Java/Scala
Added 18 days ago
Staff Software Engineer (FinTech) - Back End (Bangkok based, Relocation provided)
Agoda
Toronto, ON
Full-time
8+ years of experience with strong proficiency in Java, Kotlin, Scala with a proven track record of developing high-performance applications in production settings. Insightful experience…
Added 21 days ago
Senior Data Engineer - Halifax
RBC
Bedford, QC
Full-time
5+ years of application development experience in Spark or Hadoop, and Java/Scala
Added 18 days ago
Director & Principal Engineer, AI/ML & MLOps Platform
RBC
Vancouver, BC
Full-time
Deep expertise in modern distributed data processing and ML engineering tools and languages (e.g., Python, Java/Scala, PySpark/Spark, Kafka, SQL, orchestration frameworks).
Added 24 days ago
Sr Applied Scientist, Recommendations
eBay
Toronto, ON
Full-time
Experience in production engineering practices and software development in an OO language (Scala, Java, etc.)
Added 18 days ago
Senior Java Backend Engineer – AI/Workflow
Astek
Montreal, QC
Full-time
3 + years of hands-on software development experience in Java ecosystem
Added 20 days ago
Big Data Developer – Scala/Spark, Java
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
8. Experience in writing Spring boot Webservices| and SQL queries.The ideal candidate will have experience developing data processing applications using Apache Spark and Scala.
Added 20 days ago
Spark Scala Java Developer
J&M Group
Toronto, ON
Contract
Experience in writing Spring boot Webservices| and SQL queries.The ideal candidate will have experience developing data processing applications using Apache Spark and Scala.
Added 23 days ago
Data Engineer - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
Full-time
Proficiency in programming languages such as SQL, Python, Java and or Scala.
Added 24 days ago
Senior Data Engineer
Capgemini
Mississauga, ON
Full-time
Programming experience in at least two of the following languages Scala Java or Python
Added 25 days ago
Big Data Developer
Centraprise
Toronto, ON · Greater Toronto Area, Canada
Contract
Mandatory Skills: Well versed with Data, ETL Processes, SQL and high-level programming languages such Scala, Java, DevSecOps
Added 25 days ago
Java developer (with Database)
Astek
Montreal, QC · Greater Montreal Metropolitan Area
Part-time
Design, develop, and enhance Java applications and data processing solutions within a fast-paced Agile environment.
Added 27 days ago
Data Engineer
FDM Group
Montreal, QC
Full-time
Java/Scala + bases solides Spark (debug, analyse d’échecs) ; Snowflake + SQL avancé (optimisation)
Added 27 days ago
Software Dev Engineer II, 1P Audio Video Measurement
Amazon
Toronto, ON
Full-time
…will help steer the future of advertising. Our stack includes Spark (Scala), EMR, S3, Elasticsearch, JVM-based services, and job schedulers, and cluster management services that oversee our…
Added 1 month ago
Hadoop Developer
Pyramid Consulting, Inc
ON · Ontario, Canada
Contract
Must have skills: - Hadoop Ecosystem (HDFS, YARN, Hive, HBase), Spark (SQL, Streaming), Kafka, Sqoop, Python/Scala/Java, Shell scripting, Airflow (workflow orchestration), distributed data…
Added 1 month ago
Data Engineer
Blackline Safety
Canada
Full-time
Strong proficiency in SQL, Python, Java, and/or Scala.
Added 1 month ago
Software Development Engineer III, Omnichannel Metrics (OCM) - Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, ON
Full-time
…distributed data pipelines processing billions of events in Spark/EMR, and build the AI-powered features that transform OCM from a reporting tool into an autonomous measurement platform.…
Added 2 months ago
Senior Forward Deployed Engineer
Shakudo
Toronto, ON
Full-time
Proficiency in at least one production programming language such as Python, Go, TypeScript, Java, or Scala.
Added 1 month ago
Java Application Developer with AI
Open Systems Technologies
Montreal, QC
Contract
3 + years of hands-on software development experience in Java ecosystem
Added 28 days ago
Software Dev Engineer II, 1P Audio Video Measurement
Amazon
Toronto, ON
…will help steer the future of advertising. Our stack includes Spark (Scala), EMR, S3, Elasticsearch, JVM-based services, and job schedulers, and cluster management services that oversee our…
Added 28 days ago
Lead Data and AI Engineer
Sanofi
Toronto, ON
Full-time
Advanced SQL and data modeling skills, with working knowledge of Python and scripting languages; Scala or Java is a plus
Added 1 month ago
Big Data Engineer
TMX Group
Toronto, ON
$130,000 to $140,000 CAD / year
Full-time
Programming: Proficiency in Python, Scala, Shell Scripting, or Java.
Added 25 days ago
Lead AI Software Engineer
Royal Bank of Canada
Vancouver, BC
Full-time
Expert in multiple programming languages/frameworks such as: Java, Spring, Scala, Spark, JavaScript, UI framework (Angular / React / Vue.js), .NET, Python, HTML5/CSS, SQL, etc.
Added 1 month ago
Lead AI Software Engineer
RBC
Vancouver, BC
Full-time
Expert in multiple programming languages/frameworks such as: Java, Spring, Scala, Spark, JavaScript, UI framework (Angular / React / Vue.js), .NET, Python, HTML5/CSS, SQL, etc.

Capgemini

Senior GCP Data Engineer

Mississauga, ON, Canada

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

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Applications open in a new tab.

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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