At a Glance
- Tasks: Design, build, and manage data centres while ensuring 24/7 data accessibility.
- Company: Join a leading global quantitative trading firm with a tech startup vibe.
- Benefits: Competitive salary, innovative culture, and opportunities for professional growth.
- Other info: Flexible hours and travel opportunities to enhance your career.
- Why this job: Be part of a dynamic team that values collaboration and knowledge sharing.
- Qualifications: 4+ years in data centre environments with strong problem-solving skills.
The predicted salary is between 51750 - 63250 £ per year.
Data Center Engineer – Quant Trading EUR 100,000-200,000 total Quant Capital is urgently looking for a Data Center Engineer to join our high-profile client.
Our client is a well-known global quantitative trading firm.
The company operates at the intersection of trading and finance.
This is an environment similar to that of a successful tech startup, where technology is the top priority.
The firm is recognised globally for its innovative culture, technical excellence, and collaborative ethos.
More importantly, you will be surrounded by smart individuals who are deeply interested in sharing their knowledge and learning from you.
We are looking for an experienced Data Center Engineer to help maintain our client’s data infrastructure, ensuring data is safe and accessible 24/7.
This is a hands-on role that will involve designing, building, scaling, and managing data centres and colocation facilities, as well as working closely with internal teams and external vendors.
The role requires collaboration with network, server, facilities engineering, market data, and trading teams, along with data centre operators, colocation providers, and hardware vendors.
Responsibilities include: Designing deployment plans for new equipment using data centre best practices Managing procurement, shipping, and inventory of equipment, cabling, and parts Installing and configuring server OS with Linux being required for network deployment Installing, cabling, configuring, and troubleshooting various network and server equipment Ensuring the highest standards of security, organisation, documentation, safety, and cleanliness in all data centre operations Data Center Engineers MUST have: Ideally 4+ years of experience in a data centre environment with a strong understanding of best practices, cabling methodology, and vendor management A self-starter mindset with strong initiative and problem-solving skills Strong communication Ability to troubleshoot dark fibre connectivity Experience managing projects Knowledge of networking fundamentals, including switching, routing, and Layer 2/3 troubleshooting Linux Experience with a variety of server and network hardware Ability to design, deploy, test, and troubleshoot copper and fibre cabling Willingness to travel 3-4 weeks per year and work flexible hours, including some evenings and weekends This is a Data Centre Engineer plus role which has many aspects of networking, it’s a chance to work for an incredibly innovative and successful trading firm who treat their employees exceptionally well.
My client is based in London.
Data Center Engineer – Quant Trading in London employer: Quant Capital
Quant Capital is an excellent employer for those looking to thrive in the fintech sector, offering a vibrant work culture that fosters innovation and collaboration. With substantial training and development opportunities, employees can enhance their skills while enjoying a flexible hybrid work model in the heart of London. Join us to be part of a forward-thinking team that values growth and cutting-edge technology.
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We think this is how you could land Data Center Engineer – Quant Trading in London
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We think you need these skills to ace Data Center Engineer – Quant Trading in 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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✨Brush Up on Your Statistics
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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.
