Senior Field Systems Engineer – Aerospace Data & Support

globalhr; Singapore; Hybrid; SGD 90,000 - 130,000; Full time

Benefits offered by this job

Career development

Scholarship program

Health benefits

Training/certifications

Competitive renumeration

Allowance & OT benefits

Company transport

Job summary

Pratt & Whitney Singapore is seeking a data analytics engineer to support PW1900G/PW1500G Production/MRO networks. The role focuses on system-level analysis, engine performance monitoring, and data-driven problem solving.

You will work in a hybrid setting, collaborating with airline customers and internal teams to deliver insights, optimize reliability, and drive root-cause investigations with aero-thermal models.

Qualifications

• BS degree in Science, Technology, Engineering or Mathematics (STEM).
• Fluent in English (verbal/written).
• Strong teamwork and communication skills.
• A passion for aerospace and eagerness to learn.

Responsibilities

• Provide technical guidance for PW1900G/PW1500G Production/MRO network and airline customers.
• Perform system level event analysis for Production, MRO and fielded engines.
• Monitor engine performance with focus on performance trending, SPC, limit exceedance, and quality dispositions.
• Ensure safe field operation of reliable P&W engines through analysis of operability and performance.
• Trend fleet-wide performance and investigate anomalies.
• Data analytics.
• Lead root cause investigations using event data, fleet usage data and aero-thermal models.
• Communicate technical presentations to stakeholders and customers.

Skills

C++

Python

MATLAB

English fluency

Education

BS degree in STEM

Tools

Data analytics tools

Job description

Pratt & Whitney Singapore is seeking a data analytics engineer to support PW1900G/PW1500G Production/MRO networks. The role focuses on system-level analysis, engine performance monitoring, and data-driven problem solving.

You will work in a hybrid setting, collaborating with airline customers and internal teams to deliver insights, optimize reliability, and drive root-cause investigations with aero-thermal models.