Agentic data engineering, powered by AI agents, is transforming the field by replacing traditional, static data pipelines with autonomous systems capable of independently managing the entire data lifecycle from ingestion to delivery. This shift allows data engineers to evolve into "Business Engineers," focusing on strategic outcomes rather than technical implementation, leading to significant efficiency gains and cost savings for organizations. AI agents, like Matillion's Maia, are designed to function alongside human teams, offering scalable productivity and improved data quality while adapting to changing business needs and minimizing manual intervention. This new paradigm emphasizes creating intelligent, adaptive systems that align with business goals, ultimately redefining the role of data engineers to prioritize business insights and strategic value over maintaining infrastructure.