This white paper explores the integration of agentic artificial intelligence systems into data engineering workflows. We propose a new paradigm that leverages autonomous AI agents to automate, streamline, and enrich the entire data life cycle from acquisition and conversion to analysis and monitoring. Our approach demonstrates how intelligent agents can collaborate to take on complex data engineering activities with minimal human touch, resulting in increased efficiency, reduced error rates, and enhanced data quality.