Focused. Encouraging. Honest.  

We need your expertise to help us do something great for our travellers: make booking stays and journeys more sustainable and straightforward. This involves technical challenges and the latest technology, from machine learning and cloud services to world-class APIs!

As a Software Engineer with data engineering knowledge, you’ll be working in Python and with a technology stack that includes AWS, Spark, Dagger, Airflow, Databricks, SQL, MRP and batch/stream processing. Don’t worry if you’re not familiar with all these, though - much more important is your understanding of how to design, build, and operate distributed systems at scale, your ability to solve problems collaboratively with your teammates, and your passion for learning. You'll be able to break down problems into bite-size chunks and deliver them with high quality.

This team is part of the Ads tribe. It works closely with the data science team, studying past performance data and building data pipelines that provide the source to answer some of our questions like "How many people click on my AD?". More specifically, you will lead end-to-end data collection, defining the data needed to understand how Ads behave. You will process and enhance large data sets and cooperate with data science to create forecasting models that will predict the performance of our ads.

Our teamwork is distributed, with squads consisting of 6 to 12 engineers and following Agile/Lean methodology. We don't need you to know every detail of Scrum or Kanban, but you will be able to support your team in establishing a sustainable flow to deliver on your projects together.

Skyscanner is a hybrid working company and most roles can be either Full Time or Part Time. We believe when people meet regularly in person, we are better able to innovate, learn, collaborate and inspire. We ask people to be in the office on average 8 days per month.

Already a global leader in travel, we want to elevate the way we work to a whole other level. In return, you’ll get meaningful things like medical insurance, headspace subscriptions, a home office allowance and the option to buy more holiday. You’ll have the opportunity to work from any country for 4 weeks a year, and 30 days in our other global offices. Everything, in other words, to help you relax and give your best.  

For more details on Engineering at Skyscanner, check our Engineering Blog and follow Skyscanner Engineering on Twitter.