Reliability Data Engineer

工作内容

Location: Taiwan

Working Mode: Full Time

How You’ll Make An Impact

The key responsibilities of the Systems Reliability Engineer will be structured around analysis of maintenance and forced outage event data for identifying improvements to the reliability and availability of package equipment and systems. Detailed Responsibilities include but not limited to:

• Own and run Safety and Reliability investigations and fleet improvement programs; gathering and analyzing process and fleet data to identify common or reoccurring issues, make use of recognized and appropriate Root Cause Analysis techniques, document and report findings appropriately, prepare and present potential solutions and improvement opportunities to the business while working to meaningful time scales.
• Apply reliability engineering techniques to identify and manage fleet wide or project-specific issues.
• Apply machine learning models to data, collected from various data sources from different equipment.
• Work with our regional based Technical Support teams and Field Services in supporting customers with reliability issues that require systematic analysis and implementation of a reliability systems engineering approach.
• Develop and support reliability improvement plans for both product and project specific activities. This shall include but not limited to activities such as reliability centered maintenance studies, reliability audits & assessments, optimizing maintenance procedures and schedules, risk assessments, product/system modelling and life cycle cost analyses.  
• Travel overseas and offshore may be required on occasion in support of main responsibilities.
  
  

What You Bring

• As a minimum: a Bachelor’s degree or equivalent professionally accredited in an Engineering discipline preferably related to Reliability or Maintenance engineering, Data Analysis, Mathematics or related science disciplines; results no lower than 2:1. An MSc qualification in the above topics will be preferred.
• Must demonstrate practical experience in the field of Reliability Engineering and be an experienced practitioner of a Systems Engineering approach to product improvement is essential.
• Ability and experience with supervised and unsupervised machine leaning methods like clustering, classification, regression and statistical analysis of failure data for understanding and improving reliability of equipment will be essential. This shall include fundamental understanding and practical use of reliability, availability and maintainability metrics (e.g. (MTBF, MTTR, OEE, etc.)
• A working knowledge of data visualization tools and techniques (MS Excel, Tableau, QlikView/QlikSense), Reliability Centred Maintenance tools and systems (ReliaSoft RCM++), use of simulation and systems modelling tools (MatLab/Simulink or similar) and programming languages (Python, Visual Basic, R, Python, etc.) would all be advantageous.
• Familiarity with and experience in failure mode analysis with ability to problem solve and effectively communicate findings.
• Genuine interest in data, information, emerging digital trends and their impact on the society and business development.
• Proactive, well-organized and result-oriented approach combined with an ability to communicate clearly and efficiently in English, both in writing and verbally.
• Broad outlook combined with analytical mind-set: ability to make logical connections and understand the big picture quickly, as well as having a critical eye for reliability improvements
  
  

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 92,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we’re also using our technology to help protect people and the environment.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Rewards

• Working with an international team
• Opportunities to work on and lead a variety of innovative projects
• Possibility to take over further tasks within the company