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For Companies At a Glance
- Tasks: Lead cloud engineering and data platforms, shaping tech direction and team growth.
- 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 integration tools.
- Qualifications: Senior engineering leadership in cloud, Azure experience, and strong team-building skills.
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) in London 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) in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in cloud engineering and data platforms. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by researching the company’s tech stack and recent projects. Tailor your answers to show how your experience aligns with their goals, especially around Azure and AI initiatives.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Head of Cloud Engineering (Azure, Data & AI Platforms) in London
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 background 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 and data analytics. We’re looking for someone who can guide design decisions, so share examples of how you've done this in past roles.
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 candidates who take that extra step!
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 role is all about technical direction, so showing your expertise will definitely impress.
✨Showcase Your Leadership Skills
Since this position involves growing and coaching engineering teams, be prepared to share examples of how you've led teams in the past. Talk about your approach to mentoring engineers and how you've raised engineering standards in previous roles. They want to see your leadership style in action!
✨Understand the Business Impact
This role sits at the intersection of technology and business goals. Make sure you can articulate how your technical decisions have positively impacted business outcomes. Think about times when your work has enabled faster development or improved data quality for analytics and AI initiatives.
✨Prepare for Technical Questions
Expect some deep dives into technical topics during the interview. Brush up on integration layers, APIs, and operationalising machine learning workloads. Being able to discuss these concepts confidently will show that you're not just a leader but also someone who understands the nitty-gritty of the technology.