Jobs in Delta, BC and nearby

Jobs within 25 km of Delta, BC, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

38,425 listings · 7,087 employers Counted Nov 5, 2026. How we count

About these jobs

Employers hiring include Vancouver Coastal Health (1,035 listings), Fraser Health (1,011 listings), Health Match BC (725 listings).

Common roles: Registered nurse, Retail sales associate, Software engineer.

9,743 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	32.84	5,965
CAD / year	81,520.00	3,138
CAD / month	5,692.25	441
CAD / week	1,450.00	11

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 19% hybrid, 81% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Delta, BC and nearby

Within 25 km

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Added 14 mins ago
SC
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- $50,000 to $60,000 CAD / year
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Vancouver, BC
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Added 29 mins ago
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Surrey, BC
- $18.25 to $21.58 CAD / hour
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Added 29 mins ago
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Vancouver, BC
- $52,000 to $60,000 CAD / year
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Added 29 mins ago
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Senior Manager, Digital Innovation (AI)
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- Full-time
Added 29 mins ago
A
Customer Service Experience Representative
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Vancouver, BC
- $52,000 to $60,000 CAD / year
- Full-time

Capgemini

Senior Data Engineer - Vancouver

Vancouver, BC, Canada

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Applications open in a new tab.

Job details

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.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com

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More about this job

Responsibilities

The Senior Data Engineer will build and support highly available, fault-tolerant data pipelines and computational infrastructure. They are responsible for leading data engineering projects, ensuring technical excellence, and performing root cause analysis to resolve complex system issues.

Requirements

Candidates must possess expert-level knowledge in Spark, PySpark, and data modeling for big data systems. Proficiency in Azure, orchestration tools like ADF or Airflow, and experience in tuning queries over large datasets are required.

Skills

Spark
PySpark
Jupyter Notebooks
Colab
DataBricks
Data Pipeline Development
Azure
ADF
Airflow
SQL
Data Modeling
Big Data Systems
Distributed Query Engine
Root Cause Analysis

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Spark
PySpark
Jupyter Notebooks
Colab
DataBricks
Data Pipeline
Azure
ADF
Airflow
SQL
Data Modeling
Big Data
Distributed Systems
Batch Processing
Real-time Data
Fault-tolerant
Query Tuning
Root Cause Analysis
Software Engineering
Cloud Computing
Data Infrastructure
Leadership
Consulting
Technology Transformation

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