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Capgemini

Global consulting, technology services, outsourcing

Senior Cloud Data Engineer

Data EngineeringUpdated on Nov 14
Full-timeNo salary listed

About the Job

Requirements

  • Experience developing and operating cloud data platforms, such as Azure, AWS, or Databricks, and knowledge of Lakehouse and Data Warehouse architectures.
  • Strong knowledge of Python, SQL, and Spark, including developing performant data pipelines for analytics and AI use cases.
  • Experience in data modeling, data integration, processing large volumes of data, DataOps, and CI/CD approaches.
  • Very good German language skills at least at C1 level and business-fluent English.
  • Willingness to travel within Germany for project-related assignments.

Responsibilities

  • Design and implement scalable cloud data platforms for analytics, AI, and automation use cases.
  • Develop performant ETL/ELT pipelines and modern Lakehouse and Data Warehouse architectures, focusing on data quality, governance, and observability.
  • Implement and further develop technical solutions based on Azure, AWS, Databricks, Microsoft Fabric, Spark, and streaming services.
  • Analyze business requirements and translate them into secure, efficient, AI-ready data architectures.
  • Collaborate closely with customers and interdisciplinary teams, and actively shape DataOps, CI/CD, and automation approaches.

Desired Qualifications

  • Relevant cloud and data certifications, such as Microsoft Azure or Power BI certifications including PL-300.
  • An IT degree or equivalent qualification.

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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