Automation Data Engineer
14 ore fa
Join Applied Materials, the leader in materials engineering solutions, and accelerate your career in the semiconductor industry. Our 6-month Fast-Track Graduate Program for Automation Data Engineers in Europe offers a unique opportunity to gain hands-on experience, build a valuable international network, and develop a strong foundation in data-driven solutions.
Key Responsibilities:- Assess, maintain, and troubleshoot tool connections to ensure data reliability and readability.
- Perform data analytics on equipment sensor signals, analyze trends, and collaborate with field Hardware and Process Engineers to accelerate troubleshooting.
- Provide analytical data visualization to the service team and ensure the use of the latest predictive models.
- Design, test, and deploy new models and algorithms to understand and predict equipment behavior.
- 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.
- Graduating or recently graduated with a Bachelor's or Master's degree in Data Science, Mechanical or Electrical engineering, Information Systems, or related field.
- Advanced level of English, with proficiency in either French, German, or Italian.
- EU Citizen or right to live and work in France, Italy, Ireland, or Germany.
- Flexible to travel for work and training (no more than 10% of the time).
- Project management skills and mindset to coordinate and collaborate across functions.
- Team player with strong interpersonal skills and a building trust nature.
- Ability to exercise judgement based on data analysis of multiple sources of information.
- Find solutions with different tools to get the machine running again.
- Explain difficult or sensitive information and work to build consensus.
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