KeyStep

Data Engineering Manager

Skyscanner
London, UK
2 days ago
full-time

Skills & Technologies

GoData EngineeringScalabilityCloudData ScienceProgrammaticMarketing TechnologyLeadership

Job Description

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 160 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

You’ll step into a pivotal Data Engineering Manager role within our Audience Experience tribe, helping power how millions of travellers discover, engage with and return to Skyscanner. Sitting within Paid Marketing & Marketing Technology, you’ll lead the team behind the data that drives smarter marketing investment and fuels global audience growth.

This is where people leadership meets deep data engineering expertise. You’ll be just as comfortable shaping a high-performing, happy team as you are thinking through architecture and platform evolution.

Your work won’t sit on the sidelines — it will directly influence how we invest across paid channels like search, social and programmatic. In other words, not just dashboards… but decisions.

Along the way, you’ll help evolve our data platform, improving scalability, observability and governance within a modern cloud environment. You’ll partner across Marketing, Product, Analytics and Data Science to turn complex data into clear, actionable direction.

And perhaps most importantly, this is a genuine opportunity to lead, grow and elevate a team — setting the bar for both technical excellence and a culture people want to be part of.

What you'll be doing

Leading a high-performing team: You’ll manage, coach and grow a team of data engineers, creating an environment where people do their best work (and enjoy it too)

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

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.

Market salary range

£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)

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