Modern game development often relies on hard-coded scripting to achieve interactivity. This thesis presents a Data-Driven Chemical Engine Subsystem for Unreal Engine 5, providing a scalable framework for systemic emergence through energy transfer and soft chemical reaction simulation. Leveraging the UE5 Actor-Component architecture, the system decouples simulation logic from visual representation and behaviors. Furthermore, it enables a modular workflow by relying on six data structure archetypes, allowing developers to create rules, entities, and behaviors without the need for specialized code. The model rests on two primary pillars: Energy Transfer and the Proximity Graph. Energy is managed through considering entities as Accumulators for gradual thermal-like equilibrium or Exchangers for instantaneous network transmission.