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Capgemini

Global consulting, technology services, outsourcing

Data Consultant

Data EngineeringUpdated on Nov 14
Part-timeNo salary listed

About the Job

Requirements

  • A completed degree in computer science, business informatics, another STEM field, or an equivalent qualification is required.
  • Extensive experience in data, analytics, and generative AI is required.
  • Practical experience in at least one of the following areas is required: cloud data architecture, including designing and implementing end-to-end data platforms on Azure or AWS using services such as Databricks, Azure Data Lake, AWS Glue, Redshift, S3, and Athena; integrating AI and analytics by building pipelines for advanced analytics and generative AI applications using Azure Machine Learning, AWS SageMaker, or open-source frameworks such as MLflow and Kubeflow; or developing modular microservices and containerized architectures using Kubernetes (AKS/EKS), Docker, and serverless components such as Azure Functions or AWS Lambda.
  • Experience working as a consultant in data and analytics and managing stakeholders is required.
  • Good German and English communication skills and willingness to travel for projects are required.

Responsibilities

  • Serve as a central contact for the design, management, and independent execution of complex projects across all project phases.
  • Lead various projects and develop new data and analytics opportunities for clients in collaboration with Capgemini sales and account teams.
  • Facilitate workshops and represent the team's work results to clients.
  • Ensure efficiency and scalability by automating and standardizing data-driven processes.
  • Contribute knowledge and experience to commercial proposals and requests for proposals.

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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