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Added 10 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…
Added 10 mins ago
RE
EOS Principal Software Engineer
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Rodan Energy is seeking a technically versatile Senior Software Engineer to build and evolve industry-leading Energy Optimization Solutions (EOS) and help shape the future of software,…
Added 10 mins ago
R&
Staff AI Builder
Robots & Pencils
Canada
- Full-time
…delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently own systems end-to-end, and contributes to technical…
Added 25 mins ago
RA
Senior Azure Cloud Platform Engineer – Power BI & Informatica
Recrute Action
Toronto, ON
- Contract
Design, deploy, and maintain Azure cloud infrastructure and data platform services.
Added 25 mins ago
GP
Data Science Developer
Global Pharma Tek
ON · Ontario, Canada
- Contract
Job-Role/Title: Data Science /Data Engineer Developer
Added 26 mins ago
SS
Senior Automation Engineer- Agentic AI
Sapphire Stream Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
SST is seeking an experienced Senior Agentic AI – Validation & Automation Engineer to join our engineering team in Markham, Ontario.
Added 26 mins ago
V
Platform Operations Engineer – Monitoring, Automation & Security
VectorVue
Cambridge, ON
- Full-time
We’re looking for a hands-on platform operations engineer to join a team supporting a diverse, integrated technology stack. This isn’t a single-specialty role. You’ll work across…
Added 26 mins ago
AP
Founding Product Manager
AMZ Prep®
Mississauga, ON
- Full-time
- A background as a software engineer, data analyst or data scientist.
Added 40 mins ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
Hands-on data pipeline development, ingest patterns in Azure
Added 40 mins ago
Senior Data Engineer
Capgemini
Vancouver, BC
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…
Added 40 mins ago
EA
Software Engineer III -Software Engineer III - Temporary Full Time
Electronic Arts
Vancouver, BC
- Full-time
Reporting to the Engineering Manager, we are seeking an experienced .NET Software Engineer with a strong DevOps background to join our Quality Verification and Standards (QVS) team. In this…
Added 40 mins ago
GD
Software Firmware Engineer - Bowman
General Dynamics Missions System International
Calgary, AB
- Full-time
BOWMAN is an advanced tactical communications system that integrates secure digital voice and data technologies to provide reliable communications in complex military environments. The…
Added 54 mins ago
Member of Technical Staff (Migrations)
Cockroach Labs
Toronto, ON
…and Cockroach Continuum. We're looking for a staff software engineer to help build out the Migration Assistant, expand the capabilities of the MOLT toolkit, and to drive innovation around…
Added 55 mins ago
AT
Data Engineer
Aarorn Technologies Inc
Toronto, ON
- $45 CAD / hour
- Contract
Strong hands-on experience with Snowflake and DBT for designing, developing, and maintaining scalable data solutions. (Must Have)
Added 55 mins ago
GD
Software Firmware Engineer - Bowman
General Dynamics Mission Systems–Canada
Calgary, AB
- Full-time
BOWMAN is an advanced tactical communications system that integrates secure digital voice and data technologies to provide reliable communications in complex military environments. The…
Added 55 mins ago
GD
Software Firmware Engineer - Bowman
General Dynamics Mission Systems–Canada
Calgary, AB
- Full-time
BOWMAN is an advanced tactical communications system that integrates secure digital voice and data technologies to provide reliable communications in complex military environments. The…
Added 55 mins ago
QC
Quality Assurance Engineer
Quarry Consulting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Proficiency in SQL and database testing for backend validation, reconciliation, data integrity checks, and troubleshooting.
Added 55 mins ago
E
Integration Lead
EVONA
Montreal, QC
- $145,000 to $175,000 CAD / year
- Full-time
…surface. The team is small, technical and growing, and every engineer owns real flight hardware from the lab bench to…
Added 55 mins ago
TC
Workday Software Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
We are seeking an experienced Workday Software Engineer to design, develop, and support Workday integrations and solutions. The role requires strong hands-on experience with Workday…
Added 55 mins ago
P
Senior Software Engineer C# .NET
Prophix
Toronto, ON · Etobicoke, ON
- Full-time
As a Senior Software Engineer at Prophix, you'll play a central role in shaping the product that over 2,500 finance teams around the world rely on every day for budgeting, reporting, and…
Added 1 hour ago
SL
Digital Product Manager - CRM and Partnerships
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
…building the CRM, lead management, workflow automation, and data capabilities that help our Advisors, Service Sales Associates (SSA), and Insurance Wealth Associates (IWA) spend less time…
Added 1 hour ago
CI
Senior Azure Cloud Platform Engineer -- KUMDC6125986
Compunnel Inc.
Toronto, ON
- Contract
We are seeking an experienced Senior Azure Cloud Platform Engineer to join our team, focused on designing, deploying, and supporting enterprise-grade Azure data and analytics platforms,…
Added 1 hour ago
VS
Report Developer
vTech Solution Canada
Toronto, ON
- 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 1 hour ago
CI
Senior Azure Cloud Platform Engineer -- KUMDC6125986
Compunnel Inc.
Toronto, ON
- Contract
We are seeking an experienced Senior Azure Cloud Platform Engineer to join our team, focused on designing, deploying, and supporting enterprise-grade Azure data and analytics platforms,…
Added 1 hour ago
CC
Senior Analytics Engineer
Cactus Club Cafe
Vancouver, BC
- $170,000 to $195,000 CAD / year
- Full-time
An Experienced Analytics Engineer: You have 5+ years in data or analytics engineering, with deep hands-on experience in cloud data platforms (e.g., Snowflake, BigQuery, Databricks).

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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