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Added 15 days ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
As a Software Engineer II on the Excel Agent team, you will help design, build, and ship features that combine Excel’s core capabilities with agentic AI. You will own feature…
Added 15 days ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
As a Software Engineer II on the Excel Agent team, you will help design, build, and ship features that combine Excel’s core capabilities with agentic AI. You will own feature…
Added 15 days ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Senior Software Engineer on the Excel Agent team, you will design and deliver end-to-end features that combine Excel capabilities with agentic AI. You will own technical areas spanning…
Added 15 days ago
Q
FY27 Intern - Applied AI Engineering Intern (Hardware Systems) - Canada (16 months)
Qualcomm
Vancouver, BC
- Full-time
As a co-op engineer, you'll work on impactful projects such as:
Added 15 days ago
I
Resiliency Architect
Intact
Montreal, QC
- Full-time
Standardize blue/green deployment architecture and engineer safe traffic shifting, health gates, progressive cutovers, rollback, and zero-downtime data migrations.
Added 15 days ago
BB
Data Engineer
Breathaplasta by Adaptavate
Montreal, QC · Urban agglomeration of Montreal, QC
- Full-time
To succeed in our mission, we are looking for a Data Engineer who will work with our technical teams to translate raw data into information that drives business decision making. This…
Added 15 days ago
S
Senior Full Stack Gen AI Engineer/Technical Engagement Manager
Straive
Calgary, AB
- Full-time
We are seeking a Senior Full Stack AI Engineer who can combine strong hands-on software engineering with technical engagement and project delivery leadership. The successful candidate will…
Added 15 days ago
Machine Learning Engineer
Opendoor
Toronto, ON
Strong fundamentals in Python; comfortable picking up new ones
Added 15 days ago
Infrastructure Security Engineer
Opendoor
Toronto, ON
As our Infrastructure Security Engineer, you'll own the security of everything Opendoor runs on including multi-account AWS, Kubernetes clusters, the identity plane connecting every system,…
Added 15 days ago
Information Systems Engineer
Opendoor
Toronto, ON
…with confidence. We are looking for an Information Systems Engineer to lead the evolution of our IT infrastructure across SaaS platforms, cloud environments, and endpoints. You will build…
Added 15 days ago
Enterprise IAM Security Engineer
Opendoor
Toronto, ON
Strong software engineering ability in Python, Go, or TypeScript, building first-party tooling and API-driven automation on top of the identity platform.
Added 15 days ago
Enterprise Security Engineer
Opendoor
Toronto, ON
Strong scripting and automation in Python, Go, or TypeScript; comfortable writing infrastructure and configuration-as-code.
Added 15 days ago
Application Security Engineer
Opendoor
Toronto, ON
As our Application Security Engineer, you'll own how we find, prioritize, and drive down application-layer risk across the consumer flows that put cash offers in homeowners’ hands, the…
Added 15 days ago
Agentic Analytics Engineer
Opendoor
Toronto, ON
As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a…
Added 15 days ago
D
Data Engineer
DarkVision
North Vancouver, BC
- $70,000 to $110,000 CAD / year
DarkVision is seeking a Data Engineer to join our Imaging & AI team. You will contribute to multiple data pipelines that provide operational intelligence, underpin machine learning models,…
Added 15 days ago
Lead Data Engineer
Capgemini
Vancouver, BC
We are seeking an experienced Databricks Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong…
Added 15 days ago
Lead Data Engineer
Capgemini
Vancouver, BC
We are seeking an experienced Databricks Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong…
Added 15 days ago
CL
Forward Deployed Engineer
Clover Labs AI
Remote, Canada
- $85,000 to $110,000 CAD / year
- Full-time
- Remote
We're looking for an engineer who wants to sit right where our product meets our customers. You'll work hands-on with the brands, agencies and growth teams using our agents, turning their…
Added 15 days ago
CL
Full Stack Developer
Clover Labs AI
Remote, Canada
- $75,000 to $110,000 CAD / year
- Contract
- Remote
We're looking for an engineer who's excited about building systems that live at the edge of automation, AI, and web security. You'll thrive here if you're eager to learn, unafraid to dig…
Added 15 days ago
L
Security Engineer, Infrastructure Security
LiveKit
Canada
- Full-time
…business at risk. We are hiring an Infrastructure Security Engineer to improve the security posture of the production platform that carries that data. You will join a small Trust team that…
Added 15 days ago
T
Quality Engineer II
TD
Toronto, ON
- Full-time
Languages – Java, SQL, Any Scripting language (JS, Python, etc.)
Added 15 days ago
C
AI Data Engineer
Citi
Mississauga, ON
- Full-time
We are seeking a highly motivated AI Data Engineer to design, develop, and deploy AI-powered applications and agentic solutions that enhance business processes and client delivery…
Added 15 days ago
B
Senior Software Engineer
BCI
Victoria, BC · Vancouver, BC · CA Victoria
- Full-time
This isn't a traditional IT role, and it isn't a traditional Software Engineer, Data Engineer, or Business Intelligence role either. You'll learn the business, build relationships, and…
Added 15 days ago
B
Senior Software Engineer
BCI
Victoria, BC
- $106,000 to $128,000 CAD / year
- Full-time
This isn't a traditional IT role, and it isn't a traditional Software Engineer, Data Engineer, or Business Intelligence role either. You'll learn the business, build relationships, and…
Added 15 days ago
B
Senior Software Engineer
BCI
Vancouver, BC
- $106,000 to $128,000 CAD / year
- Full-time
This isn't a traditional IT role, and it isn't a traditional Software Engineer, Data Engineer, or Business Intelligence role either. You'll learn the business, build relationships, and…

Capgemini

Lead Data Engineer

Vancouver, BC, Canada

The base compensation range for this role in the posted location is $102,523 to $183,760.

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Job details

Pay: The base compensation range for this role in the posted location is $102,523 to $183,760.
Apply by: Dec 1, 2026
Posting language: English
Posted: Oct 22, 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.

We are seeking an experienced Databricks Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong expertise in Databricks, PySpark, Python, SQL, Delta Lake, and cloud technologies (Azure/AWS), with experience building enterprise-scale data solutions that support analytics, reporting, and machine learning workloads.

Key Responsibilities

Design, develop, and optimize scalable ETL/ELT pipelines using Databricks and PySpark.
Build and maintain data ingestion frameworks for batch and real-time data processing.
Develop data models and implement data transformation logic using SQL and Python.
Leverage Delta Lake for data management, data quality, and performance optimization.
Implement data orchestration workflows using tools such as Azure Data Factory, Airflow, or Databricks Workflows.
Collaborate with data architects, analysts, data scientists, and business stakeholders to understand requirements and deliver solutions.
Optimize Databricks jobs and Spark applications for performance, scalability, and cost efficiency.
Implement data governance, security, and compliance best practices.
Monitor and troubleshoot production data pipelines and provide support for critical issues.
Participate in code reviews, documentation, and knowledge-sharing activities.

Technical Skills:

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

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 role involves leading and managing a team of data engineers, defining and executing the data engineering strategy, and ensuring the effective delivery of data solutions. They provide technical expertise, drive innovation, and collaborate with stakeholders to deliver high quality, scalable, and reliable data infrastructure and solutions.

The base compensation range for this role in the posted location is $102,523 to $183,760.

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 Lead Data Engineer will design, develop, and optimize scalable ETL/ELT pipelines while leading a team to define and execute data engineering strategy. They are responsible for maintaining data ingestion frameworks, ensuring data quality, and collaborating with stakeholders to deliver reliable data infrastructure.

Requirements

The ideal candidate must have strong expertise in Databricks, PySpark, Python, SQL, and cloud technologies like Azure or AWS. Experience in building enterprise-scale data solutions and managing data governance and security best practices is required.

Skills

Databricks
PySpark
Python
SQL
Delta Lake
Azure
AWS
ETL/ELT pipelines
Data modeling
Azure Data Factory
Airflow
Data governance
Data security
Spark
Jupyter Notebooks

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

Databricks
PySpark
Python
SQL
Delta Lake
Azure
AWS
ETL
ELT
Data Engineering
Data Modeling
Azure Data Factory
Airflow
Data Governance
Data Security
Spark
Jupyter Notebooks
Cloud Platforms
Machine Learning
Data Ingestion
Performance Optimization
Big Data
Data Infrastructure
Analytics
Reporting
Consulting
Leadership
Software Engineering
Data Transformation
Orchestration

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