Senior AI Data Engineer (AI/Data Platform, Cloud Technologies, Python)

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, employing over 420,000 team members in more than 50 countries. The company delivers end-to-end services and solutions leveraging deep industry expertise and a strong partner ecosystem across strategy, technology, design, engineering, and business operations.

• 5+ years of experience in Data Engineering or AI Data Platform development
• Strong expertise in Python, SQL, and PySpark
• Hands-on experience with Apache Spark, Kafka, Hadoop, and Databricks
• Experience with Snowflake, BigQuery, or Redshift
• Strong knowledge of AWS, Azure, or Google Cloud Platform
• Experience with Airflow, dbt, Prefect, Docker, and Kubernetes
• Familiarity with Terraform, CI/CD pipelines, Git, Jenkins, and GitHub Actions
• Knowledge of Vector Databases, LLM Frameworks, and modern AI architectures
• Strong analytical, communication, and problem-solving skills
• Experience working in Agile and collaborative environments

• Design and develop scalable ETL/ELT pipelines for structured and unstructured data
• Build and optimize cloud-native data platforms and lakehouse architectures
• Support AI, machine learning, and Generative AI workflows with high-quality data solutions
• Develop batch and real-time data processing pipelines using Spark and Kafka
• Implement data governance, quality monitoring, and security best practices
• Collaborate with Data Scientists and AI Engineers on model training and deployment pipelines
• Automate workflows using orchestration and CI/CD tools
• Optimize system performance, scalability, and infrastructure costs