This paper presents a comprehensive big data framework designed to enhance energy efficiency and operational insights for utilities in the MENA region. The framework leverages a scalable data lake architecture to manage large volumes of diverse data, integrating real-time and batch processing capabilities to capture information from smart meters, IoT devices, weather systems, and economic indicators. Key components include robust data ingestion and storage layers, advanced data processing and analytics modules, and a security and governance framework to ensure data integrity and compliance. A phased implementation approach is proposed, beginning with a pilot deployment to validate core functionalities, followed by a scalable expansion across additional data sources and full deployment across the organization. By enabling predictive analytics and real-time insights, this framework supports optimized resource allocation, cost savings, and sustainability goals through data-driven energy management strategies. The proposed solution equips utilities with the tools needed to address current challenges and adapt to the evolving demands of the energy sector, promoting a resilient, efficient, and sustainable energy management system.