At a Glance
- Tasks: Supervise MAC activities and manage operations in a high-availability data centre.
- Company: Join iCobus Limited, a leader in data centre management in Manchester.
- Benefits: Competitive salary, flexible shifts, and opportunities for professional growth.
- Other info: Exciting role with hands-on responsibilities in a fast-paced environment.
- Why this job: Be part of a dynamic team ensuring seamless data centre operations 24/7.
- Qualifications: Proven supervisory experience in data centre operations and cabling skills.
The predicted salary is between 33075 - 40425 £ per year.
i Cobus Limited in Manchester is seeking a Data Centre Supervisor to oversee MAC activities, BAU operations, and cabling infrastructure in a high-availability, 24/7 data centre.
You will manage shift coverage, coordinate with internal teams and vendors, monitor SLA performance, and support incident response in a live environment.
The role requires proven supervisory experience in data centre MAC operations and hands-on copper/fibre cabling installation and testing.
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Data Centre MAC Supervisor – 24/7 Operations (Manchester) employer: iCobus Limited
iCobus Limited is an excellent employer, offering a dynamic work environment in Slough where innovation meets excellence. With a strong focus on employee growth and development, team members benefit from ongoing training and the opportunity to work with cutting-edge technologies in a prestigious international financial setting. The supportive work culture promotes collaboration and ensures that every engineer plays a vital role in maintaining high standards of service delivery.
StudySmarter Expert Advice🤫
We think this is how you could land Data Centre MAC Supervisor – 24/7 Operations (Manchester)
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Centre MAC Supervisor – 24/7 Operations (Manchester)
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!
Craft a Tailored Cover Letter:For a full-time role at iCobus Limited, 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 iCobus Limited. 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 iCobus Limited
✨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
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 iCobus Limited!
✨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.
