Posted 2 days ago
Senior Data Engineer - Vancouver
@ Capgemini
Vancouver, British Columbia
Overview
Capgemini is hiring a Senior Data Engineer in Vancouver to build and support batch and real-time data pipelines and lead complex data engineering implementations. The role requires deep Spark (PySpark) expertise, Azure data ingestion, and orchestration tools such as ADF or Airflow.
Responsibilities:
- Build batch and real-time data pipelines
- Tune queries over billions of rows
- Lead implementation of complex programs
- Develop and maintain system documentation
- Perform root cause analysis on software and process issues
Requirements summary:
- Strong/expert Spark (PySpark) skills
- Hands-on Azure data pipeline development
- Experience with ADF or Airflow orchestration
- SQL and denormalized data modeling for big data
Tools & skills
Source and dates
Employer career site / ATS feed · successfactors
- Employer posting date
- 2026-11-04
- First seen by our source
- 2026-11-05
- Source record updated
- 2026-11-05
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Capgemini
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Full company description
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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- Other recorded names
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- No
- Reported total investment
- 5,655,417,090
Currency and observation date were not supplied; this is not a current valuation or a funding round.
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…
| Field | Value |
|---|---|
| Industry | IT Services and IT Consulting |
| Company size | 10,001+ employees |
| Headquarters | Paris, France |
| Organization type | Public Company |
| Specialties | OutsourcingProcess ConsultingPackage Based SolutionsCustom Solution DevelopmentApplication ManagementArtificial IntelligenceBusiness ConsultingCloudDigitalManaged Services |
| Open jobs on Jobsy | 181 |
| View page |
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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