Hybrid Intelligence facilitates the attainment of complex objectives through the integration of Human Intelligence and Artificial Intelligence. The amalgamation of Knowledge Engineering and Machine Learning introduces novel approaches to structuring knowledge, culminating in the development of Hybrid Intelligent Systems. In this context, a process model is proposed for the intelligent exploitation of massive data under the guidance of Knowledge Engineering. This model places emphasis on the systematization of data exploitation, considering existing data and domain knowledge. Several examples use cases are presented, cultivated over numerous years, demonstrating the generalizability of the proposed method. These use cases systematically address common tasks, enhancing outcomes in data utilization across different domains.