About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks tha…
About Skyscanner
Everyone loves travelling, but planning is not without its challenges. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 100 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily.
Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all.
Our vision? To be the world's number one travel ally. (Ambitious? Yes, but, hey, that's what got us here.)
About the roleHybrid
This isn’t just another engineering management role — it’s your chance to shape the data backbone of an AI-first travel company. You’ll lead a high-performing squad within Core Data, building the reliable, scalable, and (very importantly) trusted data products that power everything from experiments to real-time traveller experiences.
Think of it as part leadership, part technical strategy, part “let’s make data actually useful at scale.” You’ll help set the pace, raise the bar, and make sure our data platforms are ready not just for today — but for where AI is taking us next.
What you'll be doing
Leading a high-impact squad: You’ll hire, coach and grow a team of talented data engineers, helping them do their best work (and enjoy doing it).
Creating a safe, curious environment: You’ll foster a culture where experimentation is encouraged, failure is a lesson, and learning never stops.
Owning delivery and quality: You’ll keep things moving — prioritising work, unblocking challenges, and ensuring high standards across everything shipped.
Driving engineering excellence: You’ll champion best practices across testing, observability, CI/CD, and performance optimisation (because smooth pipelines = happy teams).
Building AI-ready foundations: You’ll help shape data platforms that support ML and AI use cases — from reproducibility to responsible data practices.
Shaping
Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.
£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)
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