At a Glance
- Tasks: Support Data Centre Operations by providing technical assistance and managing installations.
- Company: Join JLL, a leader in real estate and investment management services.
- Benefits: Flexible shifts, career growth opportunities, and a supportive work environment.
- Other info: Dynamic team culture with a focus on innovation and operational efficiency.
- Why this job: Make a real impact in tech while shaping the future of real estate.
- Qualifications: Experience in computer engineering and cabling; strong communication skills.
The predicted salary is between 36000 - 44000 £ per year.
JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong.
This is a float role to support Data Centre Operations for Proximity Services based between Croydon Data Centre. The aim is to deliver service to the best possible standard for all infrastructure and processes managed within the data centre.
The Data Centre Engineer will be responsible for:
- Providing technical assistance and overall support to our customers, offering 24/7 cover through a 12-hour shift pattern (days and nights).
- Installation of racks, housing, network and computer equipment.
- Managing and implementing installations as required, including shelves, power strips, rails, cable management and customer IT equipment.
- Identifying issues with hardware or cabling, which can include replacing internal components and testing, tracing and labelling of cabling.
- Liaising with counterparts within the company globally and third parties on hardware-related issues and processes.
- Upholding the standards of tidiness, cleanliness, security, asset information and installation standards within the computer suites.
Essential Skills, Knowledge and Experience:
- Computer engineering experience and knowledge.
- Cabling experience and knowledge.
- Installation of rack mount kit including HP, CISCO, Dell, Arista, Synergy 1200.
- Hardware maintenance – swapping of failed customer replaceable parts such as cache battery, HDD, Power Supply.
- Highly motivated individual with a positive and pro-active attitude to work.
- Willingness to make changes to improve operational efficiency through innovation, process, and procedures.
- Ability to act rapidly and logically under pressure.
- Capable of working with the minimum of supervision.
- Good written and verbal communication skills (English).
- Good working knowledge of Outlook, Word, and Excel.
- Excellent team skills, with an ability to listen and contribute to discussions and meetings.
- Customer and service focused, with determination to meet their needs.
- Flexible.
Desirable Skills, Knowledge and Experience:
- ITIL Accreditation.
- Service Now.
- Xpedite.
If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table!
Data Centre Operations in Croydon employer: JLL
At JLL, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our EMEA Small Works Program Lead role not only provides opportunities for professional growth through diverse project exposure but also ensures a supportive environment where governance and risk management are prioritised. With a commitment to employee development and a focus on meaningful contributions, JLL stands out as a rewarding place to advance your career in facilities management.
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We think you need these skills to ace Data Centre Operations in Croydon
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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