Life Cycle Engineer / Life Cycle Analysis
Dahlewitz (DE-DW), Germany
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Rolls-Royce
Rolls-Royce pioneers cutting-edge technologies that deliver clean, safe & competitive solutions to meet our planet’s vital power needs.Job Description
Position: Life Cycle Engineer – Life Cycle Analysis (f/m/d)
Location: Dahlewitz - Berlin - Germany
Why Rolls-Royce?
An exciting opportunity has arisen for Life Cycle Engineer / Life Cycle Analysis to join Rolls-Royce in Dahlewitz close to Berlin.
Work with us and we’ll welcome you into an inclusive culture, one that invests in your continuous learning and development, and gives you access to a wide breadth and depth of experience.
We offer excellent development, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts.
Your needs are as unique as you are.
Hybrid working is a way in which our people can balance their time between the office, home, or another remote location. It’s a locally managed and flexed informal discretionary arrangement. As a minimum we’re all expected to attend the workplace for collaboration and other specific reasons, on average three days per week.
What you will be doing:
Life Cycle Engineering is the department to provide new product safety and reliability analyses, influence new product design with service experience and provide in-service technical support to ensure safe, reliable and cost-effective operation within the accountability of the respective Chief Engineer.
This particular role lies within the Life Cycle Analysis with their core competency in Holistic Life Cycle considerations for all in-service engines & NPI.
Key Responsibilities:
- For in service & NPI products, coordinate with customers, suppliers, regulatory authority, maintenance facilities and internal stakeholders on reliability, maturity and life cycle cost matters
- Develop and deploy statistical models to perform product maturity, reliability and life cycle cost analysis
- Extract actionable insights from available data using statistics, data mining and database techniques in order to quantify/understand fleet experience, system performance and asset health
- Generate asset reliability, availability and performance improvement proposals based on these insights (e.g. diagnosis and prognosis based on equipment health monitoring data)
- Perform life cycle cost analyses and trade studies to quantify the impact of changes in design, maintenance practices or operational procedures
- Present results of analyses to other business units, customers, suppliers and/or regulatory authorities.
- Produce service knowledge and share internally using and improving the dedicated processes and systems
- Manage and coordinate projects across multiple interfaces within the company and with external stakeholders
Who We’re Looking For:
Being a part of Rolls-Royce, you’ll know we embrace agility, are bold, pursue collaboration and seek simplicity in everything we do. These principles form our values and behaviours and are an essential component of our assessment process and are fundamental qualities that we seek for all roles.
Qualifications
- Master Degree or PhD in Mechanical Engineering, Aeronautical or Aerospace Engineering, Mathematics / Statistics, Physics or related field
- Good understanding of the turbo machinery and its LRU, their development, operations and failure mechanisms of the assigned product.
- Proven ability to apply logical, analytical and innovative thinking on a range of technical problems. Proven ability to handle ambiguity
- Experience with electronic data processing, development of databases and reliability models as well as their automatic evaluation/ linking and the necessary programming skills (SQL, python, matlab).
- Preferable experience in statistical life data analysis methods (e.g. System Reliability Analysis, Weibull & other parametric distributions, Monte Carlo Simulations)
- Experience in computer science, data mining and machine learning techniques will be positively valued
- Well-developed communication and team skills
- Fluent spoken and written English
We are an equal opportunities employer. We’re committed to developing a diverse workforce and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives. And the more perspectives we have, the more successful we’ll be. By building a culture of respect and appreciation, we give everyone who works here the opportunity to realise their full potential.
You can learn more about our global Inclusion strategy here
Closing date: 28.07.2025
As part of your application please could you include a cover letter and any supporting qualifications.
Job Category
Engineering for ServicesPosting Date
15 Jul 2025; 00:07* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Data Mining Engineering Machine Learning Mathematics Matlab Monte Carlo PhD Physics Python SQL Statistics
Perks/benefits: Career development Competitive pay Gear Health care Salary bonus
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