At a Glance
- Tasks: Maintain and install critical infrastructure across two sites, ensuring top-notch service delivery.
- Company: Join a leading company focused on innovative data centre solutions.
- Benefits: Flexible hours, competitive pay, and opportunities for professional growth.
- Other info: On-call support and incident response to keep things running smoothly.
- Why this job: Be part of a dynamic team that ensures seamless operations in a tech-driven environment.
- Qualifications: Experience in data centre operations and a full UK driving licence required.
The predicted salary is between 28350 - 34650 £ per year.
North is seeking an experienced Data Centre BAU Engineer to support critical infrastructure across Barnsley and Wakefield sites.
You will perform day-to-day maintenance, installation and connectivity tasks, ensuring safe, accurate delivery per customer standards.
The role involves on-call support, incident response and close collaboration with customers, technical teams and other engineers. A full UK driving licence is required for travel.
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Data Centre BAU Engineer - Two‑Site, Flexible Hours in Wakefield employer: North-PB
North-PB is an excellent employer, offering a dynamic work culture that prioritises employee well-being and professional growth. With generous holiday entitlement, a contributory pension scheme, and flexible working arrangements, employees are empowered to achieve a healthy work-life balance while contributing to impactful projects in the public sector across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Data Centre BAU Engineer - Two‑Site, Flexible Hours in Wakefield
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Centre BAU Engineer - Two‑Site, Flexible Hours in Wakefield
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 North-PB, 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 North-PB. 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 North-PB
✨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 North-PB!
✨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.
