At a Glance
- Tasks: Ensure smooth operations in the Data Centre and perform daily security checks.
- Company: Join a leading global exchange company with a focus on innovation.
- Benefits: Competitive pay, career growth opportunities, and a supportive work environment.
- Other info: Dynamic role with opportunities to learn and grow in the tech industry.
- Why this job: Be part of a crucial team ensuring data security and operational excellence.
- Qualifications: Attention to detail and a passion for technology are essential.
The predicted salary is between 30000 - 36000 £ per year.
Intercontinental Exchange Holdings, Inc. is seeking a Data Centre Technician to ensure all activities in the Data Centre & Access Centres follow procedures and industry best practice. The role involves executing tasks via Service Now, adhering to Change Control, and supporting the Data Centre Manager with work procedures.
Responsibilities include:
- First-line escalation for incidents
- MAC execution
- Asset tracking
- Daily security checks
- QA in Data Centre Halls
- Maintaining stock
Data Centre Technician: Operations, Security & MACs in Basildon employer: Intercontinental Exchange Holdings, Inc.
As a Legal Counsel at ICE Data Services, you will join a dynamic and innovative team that values collaboration and professional growth. Our inclusive work culture fosters an environment where your contributions are recognised, and you will have the opportunity to engage with diverse business units globally, enhancing your legal expertise in commercial data licensing and strategic agreements. Located in a vibrant area, we offer competitive benefits and a commitment to employee development, making us an excellent employer for those seeking meaningful and rewarding careers in the financial services sector.
Contact Details:
Intercontinental Exchange Holdings, Inc. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Centre Technician: Operations, Security & MACs in Basildon
✨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 Intercontinental Exchange Holdings, Inc.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Centre Technician: Operations, Security & MACs at Intercontinental Exchange Holdings, Inc..
✨Leverage Professional Networks
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 Intercontinental Exchange Holdings, Inc..
✨Apply Directly through Our Website
When you find a suitable opening like Data Centre Technician: Operations, Security & MACs at Intercontinental Exchange Holdings, Inc., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
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 Intercontinental Exchange Holdings, Inc., 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 Intercontinental Exchange Holdings, Inc.. 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 Intercontinental Exchange Holdings, Inc.
✨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 Intercontinental Exchange Holdings, Inc.!
✨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.