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Added 12 mins ago
M
Director, Trust & Anti-Fraud // Directeur, Confiance et Anti-fraude
Mistplay
Toronto, ON · Montreal, QC
- Full-time
Lead detection and enforcement work with the Fraud Analytics and other cross-functional teams. Set the investigation agenda, dig into live attack patterns alongside the analysts, prototype…
Added 12 mins ago
S
Fundraising Systems & Data Lead
STARS
Calgary, AB
- Full-time
Reporting to the Senior Manager, Fundraising Operations & Analytics, this role serves as the Foundation’s subject-matter expert and functional lead for Raiser’s Edge NXT and the broader…
Added 12 mins ago
PL
Manager, R&D, Divisional
Pacific Life
Toronto, ON
- Full-time
…Development team, with a focus on experience analysis. This role will lead experience analysis efforts for the North American region, while contributing to the broader transformation toward…
Added 12 mins ago
RE
EOS Principal Software Engineer
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
…Optimization Solutions (EOS) and help shape the future of software, data, automation, and AI across the organization. This is a hands-on engineering and technical leadership role for a…
Added 12 mins ago
S
Category Management Specialist
Startec
Calgary, AB
- Full-time
You can turn spend data and technical requirements into sound sourcing decisions. At Startec Thermal and Process, you’ll own assigned procurement categories from strategy through execution,…
Added 12 mins ago
OH
Senior Specialist, Technical-1
Ontario Health
Toronto, ON
- Full-time
Added 12 mins ago
B
Transformation Relationship Manager, Tax Transformation Office (Contract)
BDO
London, ON · Oakville, ON · Ottawa, ON · Toronto, ON
- Full-time
This role will partner closely with Tax leadership, Innovation & Change, Data & Analytics, and the Tax R&D Lab to help shape and execute the future of Tax delivery across the practice.
Added 12 mins ago
R&
Staff AI Builder
Robots & Pencils
Canada
- Full-time
We’re looking for a Staff AI Builder to lead the design and delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently…
Added 13 mins ago
SG
Supply Chain Planner
Stephano Group Ltd.
Toronto, ON · Etobicoke, ON
- Full-time
Review production plans and supplier lead times to ensure adequate inventory is maintained to meet operational requirements.
Added 27 mins ago
M
Project Manager, Group Benefits Operations
Manulife
Waterloo, ON
- Full-time
Lead moderate-to-large Group Benefits Operations initiatives through intake, prioritization, planning, implementation, stabilization, and benefits realization.
Added 27 mins ago
Manager, Portfolio Data Optimization & Modeling
Scotiabank
Toronto, ON
4 to 6 years of relevant experience in finance, portfolio management, financial reporting, data analytics, or a related field.
Added 27 mins ago
Officer, Delivery Services (Urban Planning) - External Montreal
Canada Post - Postes Canada
Montreal, QC
2. Experience managing client escalation, conducting data analytics and site inspections;
Added 27 mins ago
CI
Student Intern, HealthTech - Product Data Management and Material Pricing
Celestica International LP
Toronto, ON
- $23 to $30 CAD / hour
…management and platform solutions, Celestica enables critical data center infrastructure for AI, cloud, and hybrid cloud and advances technologies in high-growth markets. Working with the…
Added 27 mins ago
E-Commerce Activation Manager (18-month contract)
Nestle Operational Services Worldwide SA
Montreal, QC
We are looking for an experienced and strategic eCommerce Activation Manager to lead our B2C digital sales channel in Canada. This 15-month contract opportunity to cover a maternity leave.
Added 27 mins ago
Senior Manager, Real Estate Operations, Saskatchewan
Bell
Regina, SK
We are seeking for a Senior Manager, Real Estate Operations, to lead the day-to-day operations of a mission‑critical Data Centre, ensuring high availability, reliability, safety, and…
Added 28 mins ago
HE
Social Media and Community Event Manager
Heaps Estrin Real Estate Team
Toronto, ON
- Full-time
Analytics & Reporting: Set KPIs for channels and campaigns. Track, analyze, and report performance on a frequent basis. Adjust strategies based on data insights to maximize engagement and…
Added 28 mins ago
BH
Senior Manager, Digital Innovation (AI)
BC Hydro
Burnaby, BC
- Full-time
…Reporting to the Director of Digital Innovation, Platforms and Analytics, the role leads a team of approximately 15 employees and…
Added 28 mins ago
M
Director, Trust & Anti-Fraud // Directeur, Confiance et Anti-fraude
Mistplay
Montreal, QC
- Full-time
Lead detection and enforcement work with the Fraud Analytics and other cross-functional teams. Set the investigation agenda, dig into live attack patterns alongside the analysts, prototype…
Added 28 mins ago
M
Director, Trust & Anti-Fraud // Directeur, Confiance et Anti-fraude
Mistplay
Toronto, ON
- Full-time
Lead detection and enforcement work with the Fraud Analytics and other cross-functional teams. Set the investigation agenda, dig into live attack patterns alongside the analysts, prototype…
Added 28 mins ago
SS
Senior Automation Engineer- Agentic AI
Sapphire Stream Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Implement secure and responsible AI development practices, including access controls, protected data handling, auditability, controlled execution, and human-in-the-loop approval processes.
Added 28 mins ago
CO
Systems Analyst
City of North Vancouver
North Vancouver, BC
- Full-time
…implementation, and support). You will analyze and evaluate data and information for existing and proposed systems and procedures, recommend and develop logical solutions for problems, act…
Added 28 mins ago
CN
Directeur de la tarification / Pricing Director
C.A.T. North America Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 42 mins ago
Senior Associate, OOH Direct Activation
WPP Media
Toronto, ON
Pre- and Post-Campaign Intelligence: Oversee rigorous pre-buy validations and lead comprehensive Post-Campaign Analyses (PCAs). Translate campaign data into actionable strategic…
Added 42 mins ago
Bilingual Manager, Analytics
CMHC - SCHL
Calgary, AB · Vancouver, BC · Halifax, NS · Ottawa, ON · Toronto, ON · Montreal, QC
Join the Insurance and Securitization, in the Manager, Analytics position. In this role, you will lead a team of specialists, senior analysts, and data scientists responsible for delivering…
Added 42 mins ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
Hands-on data pipeline development, ingest patterns in Azure

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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