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Capgemini

Global consulting, technology services, outsourcing

Data & AI Engineer Public Sector

Data EngineeringUpdated on Nov 14
Full-timeNo salary listed

About the Job

Requirements

  • A completed degree in Computer Science, Business Informatics, Data Science, Artificial Intelligence, or a comparable STEM field is required.
  • Several years of practical experience in Data Engineering or AI Engineering are required.
  • Strong knowledge of Python or Scala and SQL is required.
  • Experience with modern data, cloud, or AI technologies such as Spark, Databricks, or AWS Glue is required.
  • Fluent written and spoken German and English are required.
  • Willingness to travel within Germany for project work is required.

Responsibilities

  • Develop and operate modern data pipelines and high-performance data platforms for scalable data solutions.
  • Process, integrate, and model large volumes of data to provide a solid foundation for analytics and AI applications.
  • Implement production-ready data and AI solutions and support their successful operational deployment.
  • Ensure data quality, security, and reliable operation of the entire data landscape.
  • Work closely with engineers, architects, and customer teams to translate technical requirements into sustainable solutions.

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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