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Capgemini

Global consulting, technology services, outsourcing

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeStockholm, SwedenNo salary listedIn-person

About the Job

Requirements

  • Have several years of experience working with modern data platforms and cloud-based data solutions in Azure and/or AWS.
  • Hold one or more certifications in Azure Data Platform, such as DP-700, DP-600, DP-750, or an equivalent certification in Databricks.
  • Have at least 3 years of experience with SQL, Python, PySpark, ELT, Git, CI/CD, and developing robust data pipelines in modern cloud platforms.
  • Be fluent in spoken and written Swedish and have good professional knowledge of English.

Responsibilities

  • Develop scalable data pipelines and data integrations.
  • Develop data transformations, ETL/ELT workflows, and automation in modern cloud platforms.
  • Develop and maintain robust data solutions for analytics, AI, and business-related needs.
  • Use technologies such as Microsoft Fabric, Azure Databricks, Azure Data Factory, and AWS data services.

Desired Qualifications

  • Experience working with Azure AI Search and Microsoft Foundry.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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