At a Glance
- Tasks: Manage incidents and oversee third-party vendors in a dynamic data centre environment.
- Company: Join Onnec, a leading provider of data centre services for top financial organisations.
- Benefits: Competitive pay, shift flexibility, and opportunities for professional growth.
- Other info: 24/7 shifts with a focus on health and safety compliance.
- Why this job: Be part of a prestigious team and enhance your skills in a fast-paced setting.
- Qualifications: Experience in data centre roles and strong knowledge of infrastructure technologies.
The predicted salary is between 40000 - 50000 £ per year.
Onnec is seeking a multi-skilled Data Centre engineer to join their team in Acton, West London. The role involves providing Data Centre services to a prestigious international financial organisation.
Responsibilities include:
- Incident management
- Supervision of third-party vendors
- Compliance with health and safety procedures
Candidates should have previous experience in a similar role and possess solid knowledge of infrastructure technologies.
Data Centre Engineer — 24/7 Shift, West London employer: Onnec
Onnec is an exceptional employer, offering a dynamic work environment in the heart of West London, where you will be part of a dedicated team supporting a prestigious international financial organisation. With a strong emphasis on employee growth and development, we provide comprehensive training opportunities and a collaborative culture that values innovation and excellence. Join us to enjoy competitive benefits and the chance to make a meaningful impact in the fast-paced world of data centre operations.
StudySmarter Expert Advice🤫
We think this is how you could land Data Centre Engineer — 24/7 Shift, West London
✨Get Involved in Data Science Meetups
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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 Onnec.
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We think you need these skills to ace Data Centre Engineer — 24/7 Shift, West London
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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Craft a Tailored Cover Letter:For a full-time role at Onnec, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Onnec. 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 Onnec
✨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!
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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
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✨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.
