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.)

We keep a £100M+ ads business running - powering the data behind every impression, click and booking. From performance ads insights to measuring brand impact for the world's biggest travel brands, if it's ad data, we make it happen. If you want to find yourself at the heart of advertising in Skyscanner, then this is the opportunity for you!

About the role

Hybrid

Join a cross-functional team at the heart of our ads platform, powering the data behind every impression, click and booking. Robins is the squad responsible for designing, scaling and maintaining the pipelines, platforms and analytics that help advertisers reach travellers worldwide.

You'll work closely with other data engineers, scientists and analysts, partnering with product and commercial teams to unlock insight, performance and growth. From data ingestion and transformation to building and operating high-scale systems, your work will enable smarter decision-making and better outcomes for our partners and travellers.

This is a hands-on, high-impact role - ideal for someone who enjoys solving complex data challenges, working collaboratively across disciplines, and improving how things run at scale.

What you'll be doing

Designing and building robust, scalable data pipelines for ingestion, processing and analytics

• Collaborating closely with product, commercial and analytics teams to deliver business-critical data products
• Maintaining and improving systems across our modern stack (Databricks, Airflow, Astronomer, Python, PySpark, Druid and more)
• Contributing to data architecture and engineering best practices across the tribe
• Taking ownership of key systems and ensuring they run reliably and efficiently in production
• Bringing a mindset of experimentation, learning and iteration to everything you do

About you

• You're comfortable designing and building data pipelines using modern tools and frameworks - ideally including Databricks, Airflow, Astronomer, Python, PySpark and Druid
• You're a strong collaborator who enjoys solving real-world problems alongside engineers, scientists, analysts and product managers
• You understand what it takes to run data systems in production - you care about performance, reliability and cost
• You take ownership, communicate clearly, and deliver meaningful outcomes at pace
• You're curious and pragmatic - always learning, but focused on what delivers value now
• You care about clean, maintainable code and engineering best practices, and you help others do the same

What it's like here

We are the real deal - no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans, building things that help travellers explore the world a little easier.

Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better - and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all.

Sound like your kind of adventure? Apply now and help us shape the future of travel.

We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident scheme, please let your recruiter know. If you'd like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these.