Hybrid AI Data Engineer — Cloud Pipelines & AI-Ready Data
Summary
Builds and maintains scalable data pipelines and AI-ready infrastructure using Python and SQL to process large datasets for analytics and AI integration.
Capgemini is looking for an experienced AI Data Engineer in Warsaw, Poland, to develop and maintain scalable data pipelines and AI-ready infrastructure. The candidate will work with engineering teams on data processing and analytics solutions.
Responsibilities include building ETL/ELT pipelines, processing large datasets, and integrating data from various sources. A minimum of 3 years of experience in data engineering and strong skills in Python and SQL are required. The position supports a hybrid working model and offers various well-being resources.