At a Glance
- Tasks: Join Hitachi Rail to enhance service quality and reliability through innovative maintenance analytics.
- Company: Hitachi Rail, a global leader in digital transformation and technology.
- Benefits: Competitive salary, performance bonuses, 25 days holiday, and private medical insurance.
- Other info: Inclusive environment with opportunities for career growth and personal development.
- Why this job: Make a real impact on train operations while working with cutting-edge technology.
- Qualifications: Engineering degree, coding experience in Python, and familiarity with data science techniques.
The predicted salary is between 36000 - 60000 € 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 Maintenance Analytics Engineer to join the team. Based from our London HQ, working on a hybrid basis the Maintenance Analytics 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 Maintenance Analytics 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.
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.
Our people love technology – and they love making a difference. They have a passion for finding new solutions and working with brilliant colleagues. Every day they dedicate themselves to a huge range of exciting projects, contributing to the Hitachi vision around the globe. From engineering new sustainability solutions that conserve water and energy to creating the infrastructure for the smart cities of tomorrow, there’s no challenge too great for our pioneers. And there’s no shortage of opportunities for you to make a difference. Come and experience the dynamic, collaborative and creative environments where your ideas are welcome and new discoveries are waiting. To help you grow to your full potential, we strive to support our employees in their career aspirations and promote the freedom to explore new horizons.
Predictive Maintenance Engineer in City of London employer: Hitachi Automotive Systems Americas, Inc.
At Hitachi Rail, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. Our London headquarters provides a vibrant environment where employees can thrive, supported by competitive salaries, comprehensive benefits, and ample opportunities for professional growth. Join us to be part of a global team dedicated to pioneering sustainable solutions and advancing technology in the rail industry.
Contact Detail:
Hitachi Automotive Systems Americas, Inc. Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Predictive Maintenance Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees at Hitachi Rail on LinkedIn or through industry events. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and data science techniques. Be ready to discuss how you've used these in past projects, especially in predictive maintenance.
✨Tip Number 3
Show your passion for the railway industry! Research Hitachi Rail’s latest projects and innovations, and be prepared to share your thoughts on how you can contribute to their mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team!
We think you need these skills to ace Predictive Maintenance Engineer in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Predictive Maintenance Engineer role. Highlight your experience with Python, data science techniques, and any relevant engineering background. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your previous experiences make you a great fit. We love seeing enthusiasm and a personal touch!
Showcase Relevant Projects:If you've worked on projects related to maintenance analytics or predictive algorithms, be sure to mention them. We want to know about your hands-on experience and how you've applied your skills in real-world scenarios.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Hitachi Automotive Systems Americas, Inc.
✨Know Your Tech
Make sure you brush up on your coding skills, especially in Python and Pyspark. Be ready to discuss your experience with data science techniques and how you've applied them in previous roles. This will show that you're not just familiar with the tools but can also use them effectively.
✨Understand RCM and CBM
Familiarise yourself with Reliability Centred Maintenance (RCM) and Condition Based Maintenance (CBM) methodologies. Be prepared to explain how you've implemented these practices in past projects and how they can improve service quality and equipment reliability.
✨Showcase Your Analytical Skills
Prepare to discuss your experience with statistical analysis and big data techniques. Think of specific examples where you've used regression models or machine learning to solve problems. This will demonstrate your ability to analyse diagnostics and maintenance data effectively.
✨Communicate Clearly
Since the role involves connecting field operations with maintenance, practice articulating complex technical concepts in a clear and concise manner. Being able to communicate effectively, both orally and in writing, is crucial for this position.
