At a Glance
- Tasks: Provide hardware support and maintenance in a fast-paced data centre environment.
- Company: Join a dynamic team in a leading tech company based in South London.
- Benefits: Competitive salary, shift allowances, overtime opportunities, and training programmes.
- Other info: 24/7 support team with flexible shifts and excellent career growth potential.
- Why this job: Be part of a crucial team ensuring top-notch customer satisfaction and technical excellence.
- Qualifications: Experience with HPE & Dell servers and strong problem-solving skills required.
The predicted salary is between 40000 - 40000 £ per year.
- Base pay range
- Direct message the job poster from Click Recruitment
- Hardware Break Fix Data Centre Engineer – South London – £34K/£40K p. a. (dep on exp.)
We are recruiting a Hardware Break Fix Data Centre Engineer to join a busy DCE team, the role will primarily involve providing Server hardware support across a multi-vendor environment, (mainly HPE & Dell servers).
You will also be involved in Data Centre facility activities such as but not limited to IMAC\D (Install, Move And Change, decommissioning) work, escorting external resources, requesting access, goods in/out.
Responsibilities
- Hardware installations, maintenance, and repairs on customer equipment.
- Be able to build strong customer relationships. So need the ability to manage complex customer problems.
- Maintaining a high level of customer satisfaction by clarifying customer needs and ensuring that they are met. Handles customer-relations problems promptly and appropriately.
- To ensuring all calls are resolved within the agreed SLA, ensuring calls are escalated when required and customers are updated, until the call is resolved and closed.
- Communicating at all levels both written and verbal.
- Displaying calmness and the ability to solve problems under pressure.
Qualifications
- Good level of hardware Break Fix experience.
- Must have a good level knowledge of HPE Proliant & Dell Servers.
- Experience of other DC environment tasks such as patch cabling etc.
- Good knowledge of Service Now (SNOW).
- Sound knowledge of ESD working practice.
- Sound knowledge of general Health & Safety.
The team provide support cover 24/7 365 based on 12hr shifts – shift allowance, plus plenty of opportunity for overtime work.
We are looking for all levels of engineer from 2-10+ years DC Engineering experience.
Client vendor based Training programmes are available to upskill in any gaps as long as you have core DC support experience.
Interviews ASAP – Start ASAP!
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Data Center Engineer employer: Click Recruitment
At Click Recruitment, we pride ourselves on being an excellent employer by fostering a dynamic work culture that prioritises professional growth and flexibility. Located in Milton Keynes, our Systems Engineer role offers a unique blend of remote and on-site work, allowing you to thrive in a supportive environment while enhancing your skills in cutting-edge cloud and on-premise technologies. Join us to be part of a team that values innovation, collaboration, and the continuous improvement of IT infrastructure.
StudySmarter Expert Advice🤫
We think this is how you could land Data Center Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Click Recruitment!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Click Recruitment.
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We think you need these skills to ace Data Center Engineer
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Click Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Click Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Click Recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
