Job Description

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:

• Design and build high-performing data pipelines using tools like Fabric, Databricks and Apache Spark in Azure.
• Develop secure, scalable data lakehouses and warehouses, including data models and quality frameworks.
• Build and deploy AI/ML models using Databricks ML and Azure ML to turn data into actionable insights.
• Monitor and optimize data pipelines and infrastructure for performance, cost-efficiency, and scalability.
• Collaborate closely with cross-functional teams to ensure smooth delivery and real business outcomes.
• Stay ahead of the curve by exploring new technologies, tools, and best practices within the big data landscape.

As a People Manager, you will:

• Lead and inspire a team of 5-10 consultants, creating a positive, collaborative, and motivating environment.
• Focus on individual development, conducting regular 1:1s to support each team member’s career goals, growth paths, and wellbeing.
• Be a key part of the AI & Data Engineering leadership team, influencing strategy and team culture.
• Prioritize people and clients - we intentionally minimize administrative tasks so you can focus on what truly matters.

Your profile

• Several years of experience in Data Engineering.
• Proven expertise in technologies such as Azure, Databricks, Apache Spark, and modern data pipeline development.
• Strong knowledge of data warehouse concepts and hands-on experience with Azure services (Azure Data Lake Storage, Databricks, Azure Data Factory).
• Proficiency in SQL and scripting languages like Python, plus practical familiarity with AI/ML tools and concepts.

What we believe you will enjoy about working here

• Flexibility that works for you - remote options and flexible hours to support a healthy work-life balance.
• Continuous career growth - we offer diverse, personalized development pathways and programs tailored to your ambitions.
• Future-proof skills - gain valuable certifications in leading technologies such as Databricks, Azure, Fabric, or Snowflake.

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.

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About Capgemini

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