At a Glance
- Tasks: Provide hands-on support and maintenance for high-performance data centre systems.
- Company: Technimove, a leading tech company in Hayes, UK.
- Benefits: Competitive pay, 24/7 on-call support, and opportunities for skill development.
- Other info: Collaborative global environment with potential for career advancement.
- Why this job: Join a dynamic team and make a real impact in data centre operations.
- Qualifications: Experience in data centre support and strong troubleshooting abilities.
The predicted salary is between 24750 - 30250 £ per year.
Technimove based in Hayes, United Kingdom, is seeking multiple Level 1 and Level 2 Data Centre Engineers to ensure smooth operation in data centre infrastructure.
The role involves hands-on technical support, troubleshooting, and maintenance of high-performance systems.
Key responsibilities include complex racking, installation of enterprise hardware, and championing safety standards.
Ideal candidates will have experience in datacentre support and strong troubleshooting skills, with a focus on collaboration within global teams.
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Hands-on Data Centre Engineer — 24/7 On-Call in England employer: Technimove
Technimove is an exceptional employer that prioritises employee growth and development, offering comprehensive training and support for Data Centre Engineers. With a collaborative work culture in Hayes, UK, employees benefit from a dynamic environment that encourages innovation and teamwork, while also enjoying competitive benefits and a commitment to safety standards.
StudySmarter Expert Advice🤫
We think this is how you could land Hands-on Data Centre Engineer — 24/7 On-Call in England
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We think you need these skills to ace Hands-on Data Centre Engineer — 24/7 On-Call in England
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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