CTO | Hyperscale Data Centre & AI Platform - Path to CEO in London

CTO | Hyperscale Data Centre & AI Platform - Path to CEO in London

London Full-Time 63000 - 77000 £ / year (est.) On-site
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At a Glance

  • Tasks: Lead the technical vision for hyperscale data centres and AI platforms.
  • Company: Data eXec, a pioneering firm in cloud and AI technology.
  • Benefits: Competitive salary, equity options, and leadership development opportunities.
  • Other info: Opportunity to progress to CEO in a dynamic and innovative environment.
  • Why this job: Shape the future of technology and drive impactful projects across Europe.
  • Qualifications: Proven experience in tech leadership and strategic partnership development.

The predicted salary is between 63000 - 77000 £ per year.

Data e Xec in London is seeking a Chief Technology Officer to define and deliver the platform's technical vision and infrastructure strategy.

You will lead the senior technical authority for hyperscale, cloud and AI workloads, translating complex requirements into commercially viable solutions.

You will engage with customers, investors and the board, shaping strategic partnerships and driving delivery across European data centre projects.

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CTO | Hyperscale Data Centre & AI Platform - Path to CEO in London employer: Data eXec

Join a dynamic and well-capitalised data centre platform in London, where you will have the unique opportunity to shape the future of the company as Chief Development Officer. With a strong focus on employee growth, a collaborative work culture, and significant capital backing, this role offers competitive compensation and the chance to lead a high-performing team through an exciting phase of expansion across Europe. Be part of a forward-thinking organisation that values innovation and strategic development in the rapidly evolving data centre industry.

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Contact Details:

Data eXec Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land CTO | Hyperscale Data Centre & AI Platform - Path to CEO in London

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Data eXec or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Data eXec.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Data eXec.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Data eXec that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace CTO | Hyperscale Data Centre & AI Platform - Path to CEO in London

Communication Skills
Problem-Solving Skills
Python
Automation
SQL
Data Engineering
Data Pipeline Development

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Data eXec.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Data eXec and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Data eXec

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Data eXec uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.