Ingeniero De Mantenimiento Industrial Remoto | Predictivo

Staffbridge; Región Centro; Remote; MXN 600,000 - 900,000; Full time

Benefits offered by this job

Flexible remote work

Professional development

Job summary

Staffbridge is seeking a Remote Predictive Maintenance Engineer to enhance fleet reliability and efficiency. Analyze large sensor datasets, identify trends, and build predictive models to anticipate aircraft failures.

This fully remote role requires strong data analytics, programming skills, and understanding of aircraft systems. Work from anywhere with excellent self-management, communicating findings clearly to stakeholders and contributing to reduced downtime and safer operations across a

Qualifications

• Bachelor's degree in a quantitative field.
• 4+ years in data analysis, predictive maintenance, or reliability engineering.
• Proficiency with Python/SQL and ML algorithms.
• Strong understanding of aircraft systems and maintenance practices.

Responsibilities

• Collect and analyze data from aircraft sensors and maintenance logs to predict failures.
• Develop predictive maintenance models and algorithms.
• Monitor aircraft system health remotely and provide proactive maintenance recommendations.
• Prepare reports on predictions, performance, and maintenance guidance.
• Communicate complex data insights to technical and non-technical stakeholders.

Skills

Python

SQL

Data Analysis

Machine Learning

Aviation knowledge

Education

Bachelor's in Aerospace Engineering

Tools

MATLAB

R

Job description

Our client, a leader in aviation services, is actively recruiting a Remote Predictive Maintenance Engineer to enhance fleet reliability and operational efficiency. This role is integral to leveraging advanced data analytics and monitoring techniques to anticipate and prevent potential aircraft system failures. You will work remotely, analyzing vast datasets from aircraft sensors, identifying trends, and developing predictive models. The ideal candidate possesses strong analytical skills, expertise in data analysis tools, and a solid understanding of aircraft systems. This is a fully remote position that requires excellent self-management and the ability to communicate complex findings clearly to technical and non-technical stakeholders. Your work will directly contribute to reducing downtime and improving safety across the fleet. This position is associated with our operations in Tuxtla Gutiérrez, Chiapas, but is fully remote.

About the Role

Our client, a leader in aviation services, is actively recruiting a Remote Predictive Maintenance Engineer to enhance fleet reliability and operational efficiency. This role is integral to leveraging advanced data analytics and monitoring techniques to anticipate and prevent potential aircraft system failures. You will work remotely, analyzing vast datasets from aircraft sensors, identifying trends, and developing predictive models. The ideal candidate possesses strong analytical skills, expertise in data analysis tools, and a solid understanding of aircraft systems. This is a fully remote position that requires excellent self-management and the ability to communicate complex findings clearly to technical and non-technical stakeholders. Your work will directly contribute to reducing downtime and improving safety across the fleet. This position is associated with our operations in Tuxtla Gutiérrez, Chiapas, but is fully remote.

Key Responsibilities

• Collect, process, and analyze data from aircraft sensors and maintenance logs to identify potential equipment failures.
• Develop and implement predictive maintenance models and algorithms using data analytics tools.
• Monitor aircraft system health and performance remotely, issuing alerts and recommendations for proactive maintenance.
• Collaborate with maintenance teams to provide insights and support for scheduled and unscheduled maintenance activities.
• Identify root causes of recurring issues and recommend design or maintenance improvements.
• Prepare detailed reports on system performance, failure predictions, and maintenance recommendations.
• Stay current with advancements in predictive maintenance technologies, data analytics, and aviation maintenance practices.
• Ensure data integrity and security in all aspects of the role.

Requirements

• Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Data Science, or a related quantitative field.
• Minimum of 4 years of experience in data analysis, predictive maintenance, or reliability engineering, preferably within the aviation industry.
• Proficiency with data analysis software and programming languages (e.g., Python, R, SQL, MATLAB).
• Experience with machine learning algorithms and statistical modeling.
• Strong understanding of aircraft systems and maintenance principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective communication and presentation skills, with the ability to convey complex data insights clearly.
• Proven ability to work independently and manage workload effectively in a remote setting.
• Familiarity with aviation regulations and maintenance procedures is a plus.

Benefits

Our client offers a competitive salary, comprehensive health benefits, and flexible remote working arrangements. This fully remote role provides the significant advantage of working from home while contributing to critical aviation safety and efficiency initiatives, with operational ties to Tuxtla Gutiérrez, Chiapas. We invest in our employees' professional development, offering training and opportunities to work with cutting-edge data analytics tools. Join a team that is shaping the future of aircraft maintenance and contribute to a culture of innovation and continuous improvement. Enjoy the autonomy and flexibility of a remote position with the support and resources of a leading aviation service provider.