Energy efficiency in future networks is a global and paramount requirement driven by the desire to reduce networks' carbon footprint and energy bills, as well as extend the battery life of devices. Ultra-dense small cell deployment is a key enabler of such networks as it addresses the energy efficiency aspect of its radio section. However, the small cell backhaul mark of energy consumption is one order of magnitude higher than that of macro cells, and as such a new green challenge is born. A long-term solution to the many-fold requirements of the future backhaul would be and end-to-end fibre based network or wireless technologies that are still under- development. In the meantime, a hybrid backhaul network is developing to fill in the performance requirement gaps, where different technologies address different aspects. In this work, we offer an energy-efficient approach to the new user- centric backhaul concept in a heterogeneous and hybrid backhaul network. The approach is automated and it successfully mediates between three conflicting optimisation objectives: network, users, and energy key performance indicators.