Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead cloud engineering and data platforms, shaping tech strategy and team development.
- Company: Fast-growing media organisation at the forefront of technology and data.
- Benefits: Up to ÂŁ130k salary, flexible hybrid working, and excellent career progression.
- Other info: Collaborative culture with a focus on quality engineering and innovation.
- Why this job: Make a real impact on AI initiatives and modernise tech infrastructure.
- Qualifications: Senior engineering leadership experience in Azure and data analytics.
The predicted salary is between 130000 - 130000 ÂŁ per year.
Our client is a fast‑growing, technology‑led media organisation where data and cloud platforms sit at the heart of how the business operates. They are investing heavily in modern infrastructure to support advanced analytics, AI initiatives, and highly connected digital services across the organisation. This hire plays a critical role in shaping how teams access, share, and operationalise data at scale.
Why this role stands out:
- Strategic ownership of cloud and data platforms across the business
- Direct involvement in enabling AI and machine learning at production scale
- Opportunity to modernise integration and developer tooling
- Strong influence over technical direction and platform investment
- Hybrid London working with genuine flexibility
The Role
This role sits at the intersection of platform strategy, engineering delivery, and team leadership. You’ll guide how cloud services, data pipelines, and integrations are designed, ensuring they support both current needs and long‑term growth. You’ll work closely with product, data science, and operations teams to turn business goals into robust technical platforms, while also building and developing engineering teams capable of delivering and evolving those platforms over time.
What You’ll Be Doing
- Setting the technical direction for how cloud, data and integration services are built and scaled
- Ensuring analytics, AI and operational teams can rely on well‑structured, high‑quality data
- Enabling faster development through strong APIs and shared platform services
- Embedding automation, reliability and security into how systems are delivered and maintained
- Supporting the transition of machine learning from experimentation into real‑world usage
- Growing and coaching engineers while raising overall engineering standards
- Acting as a senior technical partner to business and product leadership
Your Experience
We’re looking for someone comfortable leading complex platform programmes while staying close enough to the technology to guide key design decisions.
Essential Experience
- Senior engineering leadership within cloud or platform‑focused teams
- Strong background in Azure‑based data and analytics environments
- Experience working with Databricks and large‑scale data processing
- Proven ability to design and evolve integration layers and APIs
- Understanding of how to operationalise machine learning workloads
- Track record of building and developing high‑performing engineering teams
Nice to Have
- Experience supporting external partners or developer ecosystems
- Familiarity with streaming or event‑driven systems
- Exposure to fast‑paced, data‑led commercial environments
- Strong appreciation of cloud security and identity frameworks
Why Join?
- Salary up to ÂŁ130k plus benefits
- High‑impact leadership role shaping business‑critical platforms
- Long‑term progression into broader technology leadership
- Collaborative culture focused on quality engineering
- Hybrid London working with flexibility
Please click apply if you think you have the right skills for this role.
Head of Cloud Engineering (Azure, Data & AI Platforms) employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Cloud Engineering (Azure, Data & AI Platforms)
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in a cloud engineering role. You never know when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Azure, data pipelines, or AI. This will give potential employers a clear picture of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by brushing up on common technical questions related to cloud engineering and data platforms. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with both technical and non-technical teams.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Head of Cloud Engineering (Azure, Data & AI Platforms)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your leadership in cloud engineering and any relevant Azure projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your experience aligns with our needs. Don’t forget to mention your experience with data platforms and AI initiatives, as these are key for us.
Showcase Your Technical Skills: In your application, be sure to highlight your technical expertise, especially in Azure-based environments and data processing. We’re looking for someone who can guide design decisions, so let us know how you’ve done this in the past!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at KDR Talent Solutions
✨Know Your Cloud Stuff
Make sure you brush up on your Azure knowledge, especially around data and AI platforms. Be ready to discuss specific projects you've worked on that involved cloud services, data pipelines, or machine learning. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Leadership Skills
Since this role involves leading engineering teams, be prepared to share examples of how you've successfully built and developed high-performing teams in the past. Talk about your coaching style and how you’ve raised engineering standards in previous roles.
✨Understand the Business Impact
This company is all about using technology to drive business goals. Be ready to explain how your technical decisions have positively impacted business outcomes in your previous roles. This shows that you can bridge the gap between tech and business effectively.
✨Prepare for Technical Questions
Expect some deep dives into technical topics, especially around APIs, integration layers, and data processing. Brush up on your knowledge of Databricks and be ready to discuss how you would approach operationalising machine learning workloads in a real-world setting.