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- Aufgaben: As a Field Service Data Engineer, you'll analyze data and support troubleshooting efforts.
- Arbeitgeber: Applied Materials is a leader in materials engineering solutions, driving innovation globally.
- Mitarbeitervorteile: Enjoy international placements, on-the-job training, and long-term career opportunities across Europe.
- Warum dieser Job: Join a dynamic team, work with cutting-edge technology, and make a real impact in the field.
- GewĂĽnschte Qualifikationen: Recent graduates with a degree in Data Science or Engineering are encouraged to apply.
- Andere Informationen: Fluency in English and another European language is required; travel may be involved.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
An Applied Materials Field Service Data Engineer stands for:
Our Data Engineers (also known as Aix Engineers) act as a support function to our Field Service Engineer. They are the interface between the Field Service team and the Digital Tools Enablement organization. Here is an idea of what you will do as an Aix Engineer:
- Perform data analytics on equipment sensor signals, analyzes trends in dialog with the field Hardware and Process Engineers to accelerate troubleshooting.
- Provide analytical data visualization to the service team and ensure use of the latest predictive models.
- Design, test and deploy new models and algorithms to “understand/predict” the equipment behavior behind the data by using direct inputs from our field service experts.
Our Trainee Program includes:
- Theoretical and practical knowledge transfer, as well as international placements at our newest production sites in Asia and Europe.
- Training on-the-job and guided tasks to gain experience, supported by a local buddy, team colleagues, and managers.
- Long-term work opportunities at our European sites with potential development opportunities in various specialisms.
We are looking for you:
- You are graduating, or have recently graduated, with a Bachelor’s or Master’s degree in Data Science, Mechanical or Electrical Engineering, Information Systems or related field.
- An advanced level of English (headquarter is in the US) together with a proficient level of either French, German or Italian.
- You are an EU Citizen or have the right to live and work in France/Italy/Ireland/Germany.
Your mindset is important:
- Team player with strong interpersonal skills and a building trust nature.
- Exercise judgement based on data analysis of multiple sources of information like plant documentations, schematics, and hardware data.
- Find solutions with different tools to get the machine running again.
- Explain difficult or sensitive information and work to build consensus.
Qualifications:
Education: Bachelor’s Degree
Skills: Certifications:
Languages: English, French
Years of Experience: 1 – 2 Years
Work Experience:
Additional Information:
Time Type: Full time
Employee Type: Assignee / Regular
Travel: Yes, 10% of the Time
Relocation Eligible: No
Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
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Field Service Data Engineer - Graduate Program Arbeitgeber: Karkidi
Kontaktperson:
Karkidi HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Field Service Data Engineer - Graduate Program
✨Tip Number 1
Familiarize yourself with data analytics tools and techniques that are commonly used in the field. Being able to demonstrate your knowledge of predictive modeling and data visualization will set you apart from other candidates.
✨Tip Number 2
Network with professionals in the industry, especially those who work as Field Service Engineers or Data Engineers. Engaging with them can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Showcase your teamwork and interpersonal skills during interviews. Be prepared to discuss examples where you've successfully collaborated with others to solve complex problems.
✨Tip Number 4
Research Applied Materials and their latest projects or technologies. Understanding their business and how your role as a Data Engineer fits into their operations will help you make a strong impression.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Field Service Data Engineer - Graduate Program
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Field Service Data Engineer position. Understand the key responsibilities and required skills, especially the importance of data analytics and teamwork.
Highlight Relevant Experience: In your CV and cover letter, emphasize any relevant projects or internships that showcase your data analysis skills, engineering background, and ability to work in a team. Mention specific tools or technologies you have used.
Showcase Language Proficiency: Since the role requires advanced English and proficiency in either French, German, or Italian, make sure to highlight your language skills clearly in your application. Provide examples of how you've used these languages in a professional or academic setting.
Tailor Your Application: Customize your CV and cover letter to reflect the values and requirements mentioned in the job description. Use keywords from the listing to demonstrate that you are a good fit for the company culture and the specific role.
Wie du dich auf ein Vorstellungsgespräch bei Karkidi vorbereitest
✨Understand the Role
Make sure you have a clear understanding of what a Field Service Data Engineer does. Familiarize yourself with data analytics, predictive modeling, and how these relate to field service operations. This will help you answer questions more effectively.
✨Showcase Your Technical Skills
Be prepared to discuss your technical background in data science or engineering. Highlight any relevant projects or experiences where you used data analysis tools or algorithms, especially those that relate to troubleshooting or predictive maintenance.
✨Demonstrate Teamwork and Communication
Since the role emphasizes teamwork and interpersonal skills, be ready to share examples of how you've successfully collaborated with others. Discuss situations where you had to explain complex information clearly to build consensus.
✨Prepare for Behavioral Questions
Expect behavioral interview questions that assess your problem-solving abilities and judgment. Use the STAR method (Situation, Task, Action, Result) to structure your responses, focusing on how you analyze data to make informed decisions.
