Agentic AI for data engineering represents a transformative paradigm wherein autonomous AI agents are designed to perform complex data-related tasks with minimal human intervention. These agents operate by perceiving their environment, formulating goals, planning actions, and executing them to achieve desired outcomes in data pipelines. This includes automated data collection, cleansing, transformation, integration, and validation. Technology leverages advanced machine learning models, natural language processing, and reinforced learning to understand data structures, identify anomalies, and optimize data flows.