Data Engineer
Confirmed live in the last 24 hours
Skyscanner
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 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 role
(Hybrid)
Your mission: Join our distributed systems area to design, build and scale the pipelines and platforms that power decision-making across Skyscanner. From analytics to experimentation, your work will help 100 million travellers find their perfect trip — faster, smarter, smoother.
Your impact: You’ll shape the backbone of our Databricks ecosystem, championing modern data engineering practices and raising the bar on data quality, governance and performance. In short: if it moves data, you’ll help make it better.
What you'll be doing
- Designing scalable pipelines: Building and maintaining robust Spark/PySpark and SQL pipelines to process large-scale datasets reliably and efficiently.
- Orchestrating with confidence: Creating and managing data workflows that keep our d
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