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Added 13 mins ago
CS
Senior Associate - Digital Transformation
Cascadia Strategy Consulting Partners
Remote, Canada
- $110,000 to $135,000 CAD / year
- Full-time
- Remote
Proficiency in project management methodologies and tools (e.g., Azure DevOps, Jira, MS Project, etc.)
Added 13 mins ago
CS
Senior Associate - Digital Transformation
Cascadia Strategy Consulting Partners
Remote, Canada
- $110,000 to $135,000 CAD / year
- Full-time
- Remote
Proficiency in project management methodologies and tools (e.g., Azure DevOps, Jira, MS Project, etc.)
Added 13 mins ago
Multidisciplinary Specialist (Evening Shift - VG Halifax) (Computer Services Off 3)
The Government of Nova Scotia
Halifax, NS
Added 13 mins ago
KI
Observability Engineer
KPG99 INC
Montreal, QC
- Contract
Experience with any one of the public cloud providers (AWS, Azure, Google).
Added 28 mins ago
RE
EOS Principal Software Engineer
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Own and improve CI/CD pipelines, Azure hosting and deployment models, automated testing, observability, and monitoring.
Added 28 mins ago
A
Solution Architect
Aviso
Toronto, ON
- $150,000 to $168,000 CAD / year
- Full-time
Deep expertise in Microsoft Azure architecture, including cloud governance, security, resiliency, and operational excellence
Added 28 mins ago
A
Data Engineer - MS Fabric & Azure Data Platform
Akkodis
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are particularly interested in candidates who have worked as a Senior Data Engineer, Microsoft Fabric Engineer, Azure Data Engineer, Data Warehouse Developer, Data Platform Engineer or…
Added 28 mins ago
RT
Junior Report Developer
Russell Tobin
Toronto, ON
- $60 to $65 CAD / hour
- Contract
We are seeking a Data Engineer / Software Developer to support the design, development, and operation of enterprise data solutions on the Ontario Data Platform. The successful candidate…
Added 28 mins ago
AL
Java Developer_nov05
ADP LinkedIn Test Company - Joint Testing 4
Calgary, AB
- $4,444 to $5,666 CAD / year
- Full-time
As a Java Developer based in Candiac, QC, you will play a critical role in designing, developing, and maintaining high-quality Java applications that meet the evolving needs of our clients…
Added 28 mins ago
SI
Power BI Developer
Spait Infotech
Canada
- Full-time
Added 28 mins ago
SI
Cloud Engineer
Spait Infotech
Canada
- Full-time
Manage cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
Added 28 mins ago
SI
Full Stack Developer
Spait Infotech
Canada
- Full-time
Basic understanding of cloud platforms such as AWS, Azure, or GCP.
Added 28 mins ago
FC
Coach Agile sénior
FOP Consultants
Quebec, QC
- Full-time
Expérience avec l’un des outils suivants : Azure DevOps, JIRA ou Confluence.
Added 43 mins ago
AI
Technical Lead - SharePoint Online, Power Platform & Copilot Studio (Microsoft 365, SPFx , Power Apps)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Vancouver, BC
- Full-time
Experience with Azure DevOps/GitHub, source control, CI/CD awareness, release management, and support documentation
Added 43 mins ago
AI
Senior SharePoint Developer (SharePoint Online, SPFx, Microsoft 365, Power Platform )
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Vancouver, BC
- Full-time
Job Title: Senior SharePoint Developer (SharePoint Online, SPFx, Microsoft 365, Power Platform)
Added 43 mins ago
UT
Business System Analyst #26-28193
US Tech Solutions
Toronto, ON
- $85 to $90 CAD / hour
- Contract
Azure DevOps, Jira, Confluence - Tooling familiarity for backlog, documentation, and reporting discipline.
Added 43 mins ago
CS
Senior Associate - Digital Transformation
Cascadia Strategy Consulting Partners
Victoria, BC
- $110,000 to $135,000 CAD / year
- Full-time
Proficiency in project management methodologies and tools (e.g., Azure DevOps, Jira, MS Project, etc.)
Added 43 mins ago
CS
Senior Associate - Digital Transformation
Cascadia Strategy Consulting Partners
Vancouver, BC
- $110,000 to $135,000 CAD / year
- Full-time
Proficiency in project management methodologies and tools (e.g., Azure DevOps, Jira, MS Project, etc.)
Added 43 mins ago
VL
Business Analyst
VStream Labs Inc.
Regina, SK
- Contract
…delivery across event-driven microservices, cloud applications (Azure), and SQL data…
Added 43 mins ago
AI
Sharepoint Developer
Apptoza Inc.
Vancouver, BC
- Full-time
Hands-on experience with VS Code, Git/GitHub or Azure Repos, package management and standard development/debugging tools.
Added 43 mins ago
FG
Junior Software Developer
FDM Group
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Build and deploy cloud-native applications on AWS or Azure using Java and React, optimizing for performance, scalability, and resilience.
Added 43 mins ago
KT
SDET Python, With Robotic framework experience
Kaizen Technologies
Toronto, ON
- Contract
Should have expertise in at least one programming language (such as: C#, Python, Java) in addition to Continuous Integration tools (such as: Jenkins, Azure DevOps)
Added 43 mins ago
ES
DevOps / Cloud Engineer
Epsilon Solutions Ltd.
Toronto, ON
- Contract
Exposure to Azure OpenAI, Amazon Bedrock, OpenAI APIs, or similar technologies.
Added 43 mins ago
Senior Software Developer (AI Platform & Applications)
Dayforce
Canada
We are looking for an Intermediate to Senior Software Developer to join the team building AI-powered capabilities within the Dayforce platform. This role is ideal for an experienced…
Added 58 mins ago
EM
Senior Consultant/Manager - Data Engineer
Electric Mind
Toronto, ON
- Full-time
We're looking for a developer to help build and maintain data pipelines on Databricks for a financial services/wealth management data platform. The platform ingests data from multiple…

Capgemini

Senior Data Engineer

Vancouver, BC, Canada

The base compensation range for this role in the posted location is $83,951 to $135,000.

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Job details

Pay: The base compensation range for this role in the posted location is $83,951 to $135,000.
Apply by: Jan 1, 2027
Posting language: English
Posted: Nov 5, 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.

Strong/expert Spark (PySpark) Using Jupyter Notebooks, Colab or DataBricks (preferred) Hands-on data pipeline development, ingest patterns in Azure Orchestration tools, ADF or Airflow SQL Denormalized Data modeling for big data systems

Responsibilities and essential job functions include but are not limited to the following:

Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data, data pipeline, and technology capabilities
Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines
Provide consultation and lead the implementation of complex programs
Develop and maintain documentation relating to all assigned systems and projects
Tune queries running over billions of rows of data running in a distributed query engine
Perform root cause analysis to identify permanent resolutions to software or business process issues"

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 $83,951 to $135,000.

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

The role involves building and maintaining fault-tolerant, scalable data pipelines and infrastructure to support real-time and batch data processing. Additionally, the engineer will lead technical implementation, tune complex queries, and perform root cause analysis to resolve system issues.

Requirements

Candidates must possess expert-level knowledge in Spark, PySpark, and SQL, along with hands-on experience in Azure data services and orchestration tools like ADF or Airflow. Strong proficiency in denormalized data modeling for big data systems is required to ensure high-quality data delivery.

Skills

Spark
PySpark
Jupyter Notebooks
DataBricks
Data pipeline development
Azure
ADF
Airflow
SQL
Data modeling
Big data systems
Distributed query engine
Root cause analysis
Batch processing
Real-time data processing

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

Data Engineering
Spark
PySpark
Azure
ADF
Airflow
SQL
Data Modeling
Big Data
Distributed Systems
Cloud Computing
Data Pipelines
Batch Processing
Real-time Data
Jupyter Notebooks
DataBricks
Query Tuning
Root Cause Analysis
Software Engineering
Data Infrastructure
Consulting
Technology Transformation
AI
Generative AI
Data Analytics

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