Predictive Maintenance Engineer

Predictive Maintenance Engineer

Full-Time 50000 - 65000 £ / year (est.) Home office (partial)
Hitachi Automotive Systems Americas, Inc.

At a Glance

  • Tasks: Develop predictive maintenance tools and optimise workflows for train operations.
  • Company: Join Hitachi Rail, a leader in digital transformation and technology.
  • Benefits: Enjoy competitive salary, 25 days holiday, and private medical insurance.
  • Other info: Hybrid work environment with excellent career growth opportunities.
  • Why this job: Make a real impact on train reliability and service quality with cutting-edge technology.
  • Qualifications: Engineering degree and strong coding skills in Python; experience in data science preferred.

The predicted salary is between 50000 - 65000 £ per year.

A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the multi-cultural strength of our global organisation to the sustainable and innovative ways we work to bring people together, there’s something for everyone to get stuck into.

Your new role

Here at Hitachi Rail, we have a fantastic and unique opportunity for an experienced Predictive Maintenance Engineer to join the team. Based from our London HQ, working on a hybrid basis the Predictive Maintenance Engineer will be responsible for improving service quality and equipment reliability by developing tools and systems for improving workflows and optimising maintenance processes using suitable practices, Reliability Centred Maintenance (RCM), Condition Based Maintenance (CBM) methodology and Data Science Techniques.

The Predictive Maintenance Engineer will play a critical role in connecting field operations with the maintenance organisation, helping minimise downtime and failure rates and maximise train operation. The successful candidate ideally would come from either an Electronics or Software engineering background but must have strong experience coding in Python and exposure/experience with data science technologies.

Other key responsibilities include:

  • Review and design main train subsystems with focus on maintainability, availability, reliability and CBM rule application
  • Develop prognostic algorithms, principles based on its logic, signals/events/operational information within related resolution and sampling timing and prescriptions for maintenance
  • Implement prognostic algorithms with different proprietary technologies and coding languages such as Pyspark, Python, PowerBI
  • Analyse diagnostics and maintenance data
  • Monitor prognostic system performances and statistical analysis on collected data to identify critical trends and conditions
  • Support prognostic algorithm verification and validation. This will include simulations with TCMS simulator and historical diagnostic data, analysis of maintenance reports and on field failures
  • Study and review of the vehicle FMECA/FMEA and maintenance plan
  • Support and participate in RCM design activities
  • Master the communication among the diagnostic MMI interfaces, TCMS, the specific on-board subsystem controllers and on-ground system
  • Write and review maintenance procedures and plans, train users on CBM

About you

  • Engineering Degree, preferably Electrical or Electronics Engineering
  • Experience in railway domain (preferred) or other manufacturing industry such as avionics, automotive or R&D
  • Experience in coding with Python, SQL, preferably Pyspark, and versioning tools (SVN, Git)
  • Familiar with PowerBI dashboard development
  • Able to interpret electrical drawings, system specification software specification (e.g., UML) and mechanical drawings
  • Experience in prediction/CBM algorithms
  • Experience in statistical analysis including quality control, multiple linear regression models, logistic regression, discriminant analysis, re-sampling techniques
  • Experience in big data analysis techniques both unsupervised and supervised machine learning
  • Good understanding of RCM methodology
  • Able to write technical specification for software and electronic systems
  • Able to manage relationship with suppliers and end-customers
  • Ability to communicate effectively both orally and in writing
  • An understanding of health and safety requirements of a working environment

Desirable

  • Experience in maintenance of vehicle railways equipment
  • Experience in design of vehicle railway system

What we offer

We value the importance of all of our employees, if you would like to join our fantastic organisation you could be entitled to:

  • Competitive salary
  • Annual Performance bonus paid on discretionary basis
  • 25 days holiday
  • Pension scheme with contributions up to 9%
  • Private medical insurance
  • Personal Accident insurance
  • Group Income protection
  • Group Life Insurance
  • Employee Assistance Programme

We also offer additional perks for you to choose from within a flexible plan that will meet your specific needs and lifestyle.

Thank you for your interest in Hitachi Rail. If your application is of interest, we will be in contact. Please do not hesitate to discover more about us and our latest jobs at https://www.hitachirail.com/careers.

At Hitachi Rail, there is a place for everyone. We welcome and value differences in background, age, gender, sexuality, family status, disability, race, nationality, ethnicity, religion, and world view. It is our commitment to create an inclusive environment - we are proud to be an equal opportunity employer.

Predictive Maintenance Engineer employer: Hitachi Automotive Systems Americas, Inc.

Hitachi Rail UK Limited is an exceptional employer that fosters a culture of innovation and inclusivity, making it an ideal place for a Predictive Maintenance Engineer to thrive. With a competitive salary, generous benefits including a pension scheme and private medical insurance, and a commitment to employee growth through diverse projects in a hybrid working environment, you will have the opportunity to make a meaningful impact in the railway industry while enjoying a supportive work-life balance in the vibrant city of London.

Hitachi Automotive Systems Americas, Inc.

Contact Details:

Hitachi Automotive Systems Americas, Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Predictive Maintenance Engineer

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We think you need these skills to ace Predictive Maintenance Engineer

Problem-Solving Skills
Communication Skills
Python
SQL
Data Engineering
ETL/ELT Processes
Data Pipeline Development

Some tips for your application 🫡

Showcase Your Technical Expertise:When applying for an engineering role like Predictive Maintenance Engineer, it’s essential to highlight your technical skills. Include any relevant software or tools you're proficient in on your CV—think CAD software, simulation tools, or programming languages. Don't skimp on any engineering projects you've worked on that demonstrate your ability to solve complex problems.

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Craft a Compelling Cover Letter:Use your cover letter to express your passion for engineering and explain why you’re drawn to Hitachi Automotive Systems Americas, Inc. specifically. Share what aspects of their work excite you and how your values align with theirs. This is your chance to show a bit of personality while keeping it professional!

Include Relevant Certifications:If you have any engineering certifications, especially ones that are recognised in your field, make sure to feature them prominently on your CV. They demonstrate not just your knowledge, but also your commitment to professional development, which is something we at StudySmarter value highly.

How to prepare for a job interview at Hitachi Automotive Systems Americas, Inc.

Brush Up on Core Engineering Principles

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Show Off Your Problem-Solving Skills

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Know Your Tools and Software

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