Equipment Health Monitoring Engineer (m/w/d) am Standort Friedrichshafen

Rolls-Royce
Full_time•Friedrichshafen, Germany

📍 Job Overview

  • Job Title: Equipment Health Monitoring Engineer (m/w/d) am Standort Friedrichshafen
  • Company: Rolls-Royce
  • Location: Friedrichshafen, Baden-Württemberg, Germany
  • Job Type: On-site, Full-time
  • Category: Service Operations
  • Date Posted: July 22, 2025

🚀 Role Summary

  • Key Responsibilities: Timely detection of trends based on operational data analysis, development of solutions, preventive condition monitoring, expert support, and training for Equipment Health Engineers.
  • Key Skills: Data analysis, trend recognition, preventive maintenance, communication, thermodynamics, control engineering, automation, analytical skills, digital innovation, performance reporting, technical leadership, training, problem-solving, method development, remote monitoring, and customer support.

💻 Primary Responsibilities

  • 📝 Enhancement Note: The role requires a strong analytical mindset to interpret large amounts of data and recognize patterns, as well as excellent communication skills to effectively convey complex findings to both technical and non-technical stakeholders.

  • Trend Analysis & Solution Development:

    • Conduct timely trend analysis based on operational data to identify patterns and anomalies.
    • Develop and implement solutions, including requirements for trend algorithms and digital applications.
    • Collaborate with the Data Mining team in the Digital Solutions department to create new analysis and algorithms for early prediction of failure modes.

  • Preventive Condition Monitoring:

    • Monitor the health of engines, equipment, and systems in customer fleets using remote monitoring tools.
    • Create performance reports for fleet customers to provide insights into their equipment's condition and usage.

  • Expert Support & Training:

    • Provide expert support and training to Equipment Health Engineers in sales and service centers, as well as distributors.
    • Develop and implement global methods and standards for predictive maintenance in collaboration with MTU Service Engineering teams.

  • Data Coordination & Networking:

    • Act as a data ambassador by coordinating knowledge and problems between local experts in the field and developers in the Data Mining department.
    • Facilitate the exchange of information and best practices among Equipment Health Engineers worldwide.

🎓 Skills & Qualifications

Education:

  • Successful completion of a degree in Electrical Engineering, Control Engineering, or a related field, ideally with a focus on drive systems or automation development.

Experience:

  • Proven experience in engine testing, practical engineering, and application technology.
  • Familiarity with preventive maintenance methods and remote monitoring tools.

Required Skills:

  • Strong analytical skills and ability to interpret large datasets.
  • Excellent communication skills in German and English.
  • Knowledge of thermodynamics, control engineering, and automation.
  • Methodological skills to recognize digital innovation potential and derive product ideas.

Preferred Skills:

  • Experience with data analysis tools and programming languages.
  • Knowledge of the methods and technologies used in predictive maintenance.
  • Familiarity with the Rolls-Royce product portfolio and customer base.

📊 Web Portfolio & Project Requirements

📝 Enhancement Note: As this role focuses on data analysis and predictive maintenance, a strong portfolio demonstrating analytical skills, data interpretation, and problem-solving abilities is essential. Include case studies showcasing your ability to identify trends, develop solutions, and create performance reports.

Portfolio Essentials:

  • Data analysis and interpretation projects, highlighting your ability to identify trends and patterns.
  • Case studies demonstrating your problem-solving skills and the development of solutions for predictive maintenance.
  • Performance reports showcasing your ability to create clear and insightful reports for stakeholders.

Technical Documentation:

  • Document your approach to data analysis, including the tools and methods used.
  • Explain the reasoning behind your solutions and how they address the identified problems.
  • Describe any challenges faced during the implementation of your solutions and how you overcame them.

💵 Compensation & Benefits

Salary Range: The salary range for this role is not specified in the job listing. Based on market research and industry standards for a similar role in Friedrichshafen, Germany, the estimated salary range is €55,000 to €75,000 per year (gross, full-time equivalent).

Benefits:

  • Health insurance (BKK MTU)
  • Fitness program (EGYM Wellpass)
  • Retirement plan
  • Disability insurance
  • Mobility support (JobTicket and Jobrad)
  • Employee discounts (Corporate Benefits program)

Working Hours: The standard working hours are 40 hours per week, with flexible deployment windows and maintenance schedules as required.

🎯 Team & Company Context

🏢 Company Culture

Industry: Rolls-Royce operates in the aerospace, defense, and power systems industries, with a strong focus on innovation, technology, and customer support.

Company Size: Rolls-Royce Power Systems employs approximately 14,000 people worldwide, providing a large and diverse team environment for professional growth and collaboration.

Founded: Rolls-Royce was founded in 1884, with a rich history in engineering and innovation.

Team Structure:

  • The Equipment Health Monitoring Engineer role is part of the TXCE (Total Customer Experience) department, focusing on customer support and service.
  • The role will collaborate with various teams, including MTU Service Engineering, Digital Solutions, Sales, and Service Centers.
  • The team size and structure may vary depending on the specific business area (e.g., Yatch Global, Stationary, Mining, and Marine).

Development Methodology:

  • Rolls-Royce follows a structured approach to problem-solving and continuous improvement, with a focus on data-driven decision-making.
  • The company encourages innovation and the development of new technologies to enhance customer value and market competitiveness.

Company Website: https://www.rolls-royce.com/

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the intermediate to senior level, requiring a strong foundation in data analysis, predictive maintenance, and customer support.

Reporting Structure: The Equipment Health Monitoring Engineer reports directly to the manager of the Equipment Health team within the TXCE department.

Technical Impact: The role has a significant impact on customer satisfaction, equipment reliability, and overall business performance by enabling proactive maintenance and minimizing downtime.

Growth Opportunities:

  • Career Progression: With experience and proven performance, there are opportunities for advancement to senior roles within the Equipment Health team or related functions.
  • Technical Skill Development: The role offers the chance to develop expertise in data analysis, predictive maintenance, and remote monitoring technologies.
  • Leadership Potential: As the role involves providing expert support and training to other Equipment Health Engineers, there are opportunities to develop leadership skills and take on more responsibilities.

🌐 Work Environment

Office Type: The role is based at the Rolls-Royce Power Systems headquarters in Friedrichshafen, Germany, offering a modern and collaborative work environment with state-of-the-art facilities.

Office Location(s): Friedrichshafen, Germany

Workspace Context:

  • The workspace is designed to foster collaboration and knowledge-sharing among team members and across departments.
  • Employees have access to multiple monitors, testing devices, and specialized software tools to support their work.
  • The work environment encourages cross-functional teamwork, with regular interactions between technical, sales, and marketing teams.

Work Schedule: The standard working hours are 40 hours per week, with flexible deployment windows and maintenance schedules as required. The role may occasionally require working outside of regular business hours to address customer needs or technical issues.

📄 Application & Technical Interview Process

Interview Process:

  1. Online Application Review: The hiring manager will review your application and portfolio to assess your qualifications and fit for the role.
  2. Phone or Video Screen: A brief phone or video call to discuss your experience, skills, and career goals.
  3. Technical Interview: A more in-depth discussion of your technical skills, problem-solving abilities, and approach to data analysis and predictive maintenance.
  4. Final Interview: A meeting with the hiring manager or other senior team members to assess your cultural fit and long-term potential within the organization.

Portfolio Review Tips:

  • Highlight your data analysis and interpretation skills, as well as your ability to develop solutions and create performance reports.
  • Include case studies that demonstrate your problem-solving skills and the positive impact you've had on equipment health and customer satisfaction.
  • Showcase your communication skills by explaining complex findings in a clear and concise manner.

Technical Challenge Preparation:

  • Brush up on your data analysis skills and familiarize yourself with relevant tools and programming languages.
  • Review Rolls-Royce's predictive maintenance methods and technologies to ensure you're up-to-date with the latest industry developments.
  • Prepare for behavioral questions that assess your ability to work collaboratively, adapt to new situations, and drive results in a dynamic environment.

ATS Keywords: Data Analysis, Trend Recognition, Predictive Maintenance, Remote Monitoring, Performance Reporting, Technical Leadership, Training, Problem-Solving, Method Development, Customer Support, Thermodynamics, Control Engineering, Automation, Analytical Skills, Digital Innovation, Communication, Technical Leadership, Data Interpretation, Data-Driven Decision Making, Customer Satisfaction, Equipment Reliability, Business Performance, Career Progression, Technical Skill Development, Leadership Potential, Collaboration, Knowledge-Sharing, Cross-Functional Teams, Customer Needs, Technical Issues, Data Analysis Tools, Programming Languages, Predictive Maintenance Methods, Industry Developments, Behavioral Questions, Adaptability, Dynamic Environment, Customer Support, Stakeholder Management, Data-Driven Insights, Technical Expertise, Problem-Solving Skills, Data Interpretation, Data Analysis, Predictive Maintenance, Remote Monitoring, Performance Reporting, Technical Leadership, Training, Customer Satisfaction, Equipment Reliability, Business Performance, Career Progression, Technical Skill Development, Leadership Potential, Collaboration, Knowledge-Sharing, Cross-Functional Teams, Customer Needs, Technical Issues, Data Analysis Tools, Programming Languages, Predictive Maintenance Methods, Industry Developments, Behavioral Questions, Adaptability, Dynamic Environment, Customer Support, Stakeholder Management, Data-Driven Insights, Technical Expertise, Problem-Solving Skills, Data Interpretation, Data Analysis, Predictive Maintenance, Remote Monitoring, Performance Reporting, Technical Leadership, Training, Customer Satisfaction, Equipment Reliability, Business Performance, Career Progression, Technical Skill Development, Leadership Potential, Collaboration, Knowledge-Sharing, Cross-Functional Teams, Customer Needs, Technical Issues, Data Analysis Tools, Programming Languages, Predictive Maintenance Methods, Industry Developments, Behavioral Questions, Adaptability, Dynamic Environment, Customer Support, Stakeholder Management, Data-Driven Insights, Technical Expertise, Problem-Solving Skills, Data Interpretation, Data Analysis, Predictive Maintenance, Remote Monitoring, Performance Reporting, Technical Leadership, Training, Customer Satisfaction, Equipment Reliability, Business Performance, Career Progression, Technical Skill Development, Leadership Potential, Collaboration, Knowledge-Sharing, Cross-Functional Teams, Customer Needs, Technical Issues, Data Analysis Tools, Programming Languages, Predictive Maintenance Methods, Industry Developments, Behavioral Questions, Adaptability, Dynamic Environment, Customer Support, Stakeholder Management, Data-Driven Insights, Technical Expertise, Problem-Solving Skills, Data Interpretation, Data Analysis, Predictive Maintenance, Remote Monitoring, Performance Reporting, Technical Leadership, Training, Customer Satisfaction, Equipment Reliability, Business Performance, Career Progression, Technical Skill Development, Leadership Potential, Collaboration, Knowledge-Sharing, Cross-Functional Teams, Customer Needs, Technical Issues, Data Analysis Tools, Programming Languages, Predictive Maintenance Methods, Industry Developments, Behavioral Questions, Adaptability, Dynamic Environment, Customer Support, Stakeholder Management, Data-Driven Insights, Technical Expertise, Problem-Solving Skills, Data Interpretation, Data Analysis, Predictive Maintenance, Remote Monitoring, Performance Reporting, Technical Leadership, Training, Customer Satisfaction, Equipment Reliability, Business Performance, Career Progression, Technical Skill Development, Leadership Potential, Collaboration, Knowledge-Sharing, Cross-Functional Teams, Customer Needs, Technical Issues, Data Analysis Tools, Programming Languages, Predictive Maintenance Methods, Industry Developments, Behavioral Questions, Adaptability, Dynamic Environment, Customer Support, Stakeholder Management, Data-Driven Insights, 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Potential, Collaboration, Knowledge-Sharing, Cross-Functional Teams, Customer Needs, Technical Issues, Data Analysis Tools, Programming Languages, Predictive Maintenance Methods, Industry Developments, Behavioral Questions, Adaptability, Dynamic Environment, Customer Support, Stakeholder Management, Data-Driven Insights, Technical Expertise, Problem-Solving Skills, Data Interpretation, Data Analysis, Predictive Maintenance, Remote Monitoring, Performance Reporting, Technical Leadership, Training, Customer Satisfaction, Equipment Reliability, Business Performance, Career Progression, Technical Skill Development, Leadership Potential, Collaboration, Knowledge-Sharing, Cross-Functional Teams, Customer Needs, Technical Issues, Data Analysis Tools, Programming Languages, Predictive Maintenance Methods, Industry Developments, Behavioral Questions, Adaptability, Dynamic Environment, Customer Support, Stakeholder Management, Data-Driven Insights, Technical Expertise, Problem-Solving Skills, Data Interpretation, Data Analysis, Predictive Maintenance, Remote Monitoring, Performance Reporting, Technical Leadership, Training, Customer Satisfaction, Equipment Reliability, Business Performance, Career Progression, Technical Skill Development, Leadership Potential, Collaboration, Knowledge-Sharing, Cross-Functional Teams, Customer Needs, Technical Issues, Data Analysis Tools, Programming Languages, Predictive Maintenance Methods, Industry Developments, Behavioral Questions, Adaptability, Dynamic Environment, Customer Support, Stakeholder Management, Data-Driven Insights, Technical Expertise, Problem-Solving Skills, Data Interpretation, Data Analysis, Predictive Maintenance, Remote Monitoring, Performance Reporting, Technical Leadership, Training, Customer Satisfaction, Equipment Reliability, Business Performance, Career Progression, Technical Skill Development, Leadership Potential, Collaboration, Knowledge-Sharing, Cross-Functional Teams, Customer Needs, Technical Issues, Data Analysis Tools, Programming Languages, Predictive Maintenance Methods, Industry Developments, Behavioral Questions, Adaptability, Dynamic Environment, Customer Support, Stakeholder Management, Data-Driven Insights, Technical Expertise, Problem-Solving Skills, Data Interpretation, Data Analysis, Predictive Maintenance, Remote Monitoring, Performance Reporting, Technical Leadership, Training, Customer Satisfaction, Equipment Reliability, Business Performance, Career Progression, Technical Skill Development, Leadership Potential, Collaboration, Knowledge-Sharing, Cross-Functional Teams, Customer Needs, Technical Issues, Data Analysis Tools, Programming Languages, Predictive Maintenance Methods, Industry Developments, Behavioral Questions, Adaptability, Dynamic Environment, Customer Support, Stakeholder Management, Data-Driven Insights, Technical Expertise, Problem-Solving Skills, Data Interpretation, Data Analysis, Predictive Maintenance, Remote Monitoring, Performance Reporting, Technical Leadership, Training, Customer Satisfaction, Equipment Reliability, Business Performance, Career Progression, Technical Skill Development, Leadership Potential, Collaboration, Knowledge-Sharing, Cross-Functional Teams, Customer Needs, Technical Issues, Data Analysis Tools, Programming Languages, Predictive Maintenance Methods, Industry Developments, Behavioral Questions, Adaptability, Dynamic Environment, Customer Support, Stakeholder Management, Data-Driven Insights, Technical Expertise, Problem-Solving Skills, Data Interpretation, Data Analysis, Predictive Maintenance, Remote Monitoring, Performance Reporting, Technical Leadership, Training, Customer Satisfaction, Equipment Reliability, Business Performance, Career Progression, Technical Skill Development, Leadership Potential, Collaboration, Knowledge-Sharing, Cross-Functional Teams, Customer Needs, Technical Issues, Data Analysis Tools, Programming Languages, Predictive Maintenance Methods, Industry Developments, Behavioral Questions, Adaptability, Dynamic Environment, Customer Support, Stakeholder Management, Data-Driven Insights, Technical Expertise, Problem-Solving Skills, Data Interpretation, Data Analysis, Predictive Maintenance, Remote Monitoring, Performance Reporting, Technical Leadership, Training, Customer Satisfaction, Equipment Reliability, Business Performance, Career Progression, Technical Skill Development, Leadership Potential, Collaboration, Knowledge-Sharing, Cross-Functional Teams, Customer Needs, Technical Issues, Data Analysis Tools, Programming Languages, Predictive Maintenance Methods, Industry Developments, Behavioral Questions, Adaptability, Dynamic Environment, Customer Support, Stakeholder Management, Data-Driven Insights, Technical Expertise, Problem-Solving Skills, Data Interpretation, Data Analysis, Predictive Maintenance, Remote Monitoring, Performance Reporting, Technical Leadership, Training, Customer Satisfaction, Equipment Reliability, Business Performance, Career Progression, Technical Skill Development, Leadership Potential, Collaboration, Knowledge-Sharing, Cross-Functional Teams, Customer Needs, Technical Issues, Data Analysis Tools, Programming Languages, Predictive Maintenance Methods, Industry Developments, Behavioral Questions, Adaptability, Dynamic Environment, Customer Support, Stakeholder Management, Data-Driven Insights, Technical Expertise, Problem-Solving Skills, Data Interpretation, Data Analysis, Predictive Maintenance, Remote Monitoring, Performance Reporting, Technical Leadership, Training, Customer Satisfaction, Equipment Reliability, Business Performance, Career Progression, Technical Skill Development, Leadership Potential, Collaboration, Knowledge-Sharing, Cross-Functional Teams, Customer Needs, Technical Issues, Data Analysis Tools, Programming Languages, Predictive Maintenance Methods, Industry Developments, Behavioral Questions, Adaptability, Dynamic Environment, Customer Support, Stakeholder Management, Data-Driven Insights, Technical Expertise, Problem-Solving Skills, Data Interpretation, Data Analysis, Predictive Maintenance, Remote Monitoring, Performance Reporting, Technical Leadership, Training, Customer Satisfaction, Equipment Reliability, Business Performance, Career Progression, Technical Skill Development, Leadership Potential, Collaboration, Knowledge-Sharing, Cross-Functional Teams, Customer Needs, Technical Issues, Data Analysis Tools, Programming Languages, Predictive Maintenance Methods, Industry Developments, Behavioral Questions, Adaptability, Dynamic Environment, Customer Support, Stakeholder Management, Data-Driven Insights, Technical Expertise, Problem-Solving Skills, Data Interpretation, Data Analysis, Predictive Maintenance, Remote Monitoring, Performance Reporting, Technical Leadership, Training, Customer Satisfaction, Equipment Reliability, Business Performance, Career Progression, Technical Skill Development, Leadership Potential, Collaboration, Knowledge-Sharing, Cross-Functional Teams, Customer Needs, Technical Issues, Data Analysis Tools, Programming Languages, Predictive Maintenance Methods, Industry Developments, Behavioral Questions, Adaptability, Dynamic Environment, Customer Support, Stakeholder Management, Data-Driven Insights, Technical Expertise, Problem-Solving Skills, Data Interpretation, Data Analysis, Predictive Maintenance, Remote Monitoring, Performance Reporting, Technical Leadership, Training, Customer Satisfaction, Equipment Reliability, Business Performance, Career Progression, Technical Skill Development,

Application Requirements

Candidates should have a degree in Electrical Engineering or related fields, ideally with a focus on drive systems or automation development. Experience in engine testing, practical engineering, and knowledge of preventive maintenance methods are also desired.