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- Tasks: Lead engineering teams to shape cloud and data platforms for advanced analytics and AI.
- Company: Fast-growing tech-led media organisation at the forefront of data innovation.
- Benefits: Competitive salary, bonus, flexible hybrid working, and opportunities for career progression.
- Why this job: Make a significant impact on business-critical platforms and drive technological advancements.
- Qualifications: Senior engineering leadership experience in cloud environments, particularly Azure and Databricks.
- Other info: Collaborative culture with a focus on quality engineering and team development.
The predicted salary is between 80000 - 100000 £ 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
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
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
- 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
- Competitive salary + Bonus
- 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 Engineering in Cambridge employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Engineering in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to cloud platforms and data engineering. We recommend doing mock interviews with friends or using online resources to get comfortable discussing your experience and technical skills.
✨Tip Number 3
Showcase your expertise! Create a portfolio or GitHub repository that highlights your projects, especially those involving Azure and Databricks. This gives potential employers a tangible look at your skills and how you approach problem-solving.
✨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 about their job search!
We think you need these skills to ace Head of Engineering in Cambridge
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 and data platforms, especially with Azure and Databricks, to show us you’re the right fit for this role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about engineering leadership and how your experience aligns with our goals. Share examples of how you've successfully led teams and projects in similar environments.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! We want to see your understanding of cloud services, data pipelines, and machine learning. Use specific examples to demonstrate your hands-on experience.
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’re considered for this exciting opportunity in our fast-growing team!
How to prepare for a job interview at KDR Talent Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure, Databricks, and large-scale data processing. Brush up on your knowledge of cloud services and integration layers, as you'll need to demonstrate your technical expertise during the interview.
✨Showcase Your Leadership Skills
Prepare examples of how you've built and developed high-performing engineering teams. Be ready to discuss your approach to coaching engineers and raising engineering standards, as this role heavily focuses on team leadership.
✨Align with Business Goals
Understand the company's vision and how the Head of Engineering role fits into it. Be prepared to discuss how you can turn business goals into robust technical platforms, showcasing your strategic thinking and ability to collaborate with product and operations teams.
✨Emphasise Automation and Security
Highlight your experience with embedding automation, reliability, and security into systems. Discuss specific projects where you’ve successfully operationalised machine learning workloads, as this will be crucial for the role.