The modern civil aircraft engine is a type of highly complex engineering system in design, manufacturing, and life-cycle management. They are constantly operated under extreme and critical conditions, yet high reliability and safety are a top priority in the civil aviation industry. To ensure top performance and efficiency of operations, engines follow a modular design. This paper intends to apply the data-driven cluster analysis to real-life operation data for aircraft engine fleets and provides a module maintenance priority recommendation solution to increase the efficiency of operations and best use of the engine values.