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People Manager (Platform & Data Engineering)

Description

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At Capgemini, you have the opportunity to shape your career in the way that fits you best

  • supported by a community of experts who inspire, challenge, and empower you. We believe in reimagining what’s possible and using technology to build a more sustainable and inclusive future. Our Insights & Data team leads the way in this mission, delivering end-to-end Data & AI solutions across industries. With over 550 specialists in the Nordics and strong partnerships with Google, AWS, Microsoft, Databricks, and Snowflake, we scale next-generation Cloud Data & Analytics with impact. Here, your skills matter, your ideas matter, and your growth matters. Join us and be part of transforming industries with cutting-edge data innovation.

Ready to elevate your career? We are now looking for our next People Manager within the AI & Data Engineering unit

  • a role that brings together leadership, technical depth, and genuine influence.

Your role As a Data Engineer with a focus on Azure, GCP, Fabric, Snowflake or Databricks, you will:

As a People Manager, you will:

What we believe you will enjoy about working here

Your application As part of our recruitment process, identity verification will be conducted through inspection of your ID card, and background checks may be carried out as required.

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.

Posted on: Feb 22, 2026

Experience Level: Experienced Professionals

Contract Type: Permanent

Göteborg, SE Stockholm, SE

Professional Community: Data & AI

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Skills

AWSAzureDatabricksSnowflakeGCPData Engineering