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Capgemini

Global consulting, technology services, outsourcing

Senior Data & AI Engineer

Data EngineeringUpdated on Nov 15
Part-timeNo salary listed

About the Job

Requirements

  • Experience building and operating data platforms and pipelines in project or consulting environments.
  • Knowledge of at least one cloud or data platform, such as AWS, Azure, GCP, Databricks, or Snowflake, and of the Modern Data Stack, such as dbt or Airflow.
  • Programming knowledge such as Python and SQL, and experience with data modeling, ETL/ELT and streaming methods, version control with Git, and CI/CD; knowledge of data quality, monitoring, cost control, security, and governance.
  • Experience developing and integrating data solutions, including testing and documentation, and using modern AI approaches such as Agentic AI in data workflows.
  • Knowledge of requirements analysis and conducting workshops, and ability to communicate appropriately to different audiences.
  • A completed degree in a STEM field or equivalent professional experience.
  • Fluent German and English.

Responsibilities

  • Own data solutions across their full lifecycle, including integration, operation, further development, orchestration, scheduling, and monitoring in on-premises and cloud environments.
  • Use generative AI to support development, documentation, and testing, and integrate agentic AI approaches while considering security and practical value.
  • Design and implement scalable data architectures using common cloud platforms and technologies, such as lakehouse, batch and streaming processing, and the Modern Data Stack.
  • Develop high-performance data models and pipelines using SQL, ensuring data quality, monitoring, cost control, and compliance with governance requirements.
  • Work with customers and interdisciplinary teams, facilitate workshops, create prototypes, and support proposal and implementation phases.

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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