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Capgemini · Vancouver

# Senior Data Engineer - Vancouver

Vancouver Senior individual contributor Data & Analytics 

Listed on Capgemini’s official careers site. Listed as of November 8, 2026. Check that it is still open and apply there.
[Apply on Capgemini’s careers site →](https://www.capgemini.com/jobs/592963-en_US+sap_btp)

[OpenNash Jobs](https://jobs.opennash.com/) / [Capgemini](https://jobs.opennash.com/companies/capgemini/) / Senior Data Engineer - Vancouver

## 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 issuesJob DescriptionData 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 SpecificThe 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

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Nov 8, 2026
- Last checked: Nov 8, 2026
- Listed for: Under a day
- Location: Vancouver[Apply on Capgemini’s careers site →](https://www.capgemini.com/jobs/592963-en_US+sap_btp)

## Hiring at Capgemini
- Open jobs: 6,578
- New in the last 7 days: 556
- Tracked since: Aug 1, 2026

[All Capgemini jobs](https://jobs.opennash.com/companies/capgemini/) · [Weekly hiring report](/reports/hiring/)

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