Software Engineer I, Distributed Systems with Data Engineering knowledge

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! If you are a software engineer with a distributed systems background who is comfortable working with data engineering tasks and balancing technical skills between distributed systems and data processing, this is your role.

You’ll be working in Python/Typescript, with a technology stack that includes AWS, Spark, Dagger, Airflow, Databricks, SQL, Apache Superset 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-sized chunks and deliver them with high quality. This team is part of the Ads tribe. It works closely with data science and data analysts, studying past performance data and building data pipelines that provide the source to answer some of our questions like "Which routes are optimal to advertise on?". 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 ML models that will optimise 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.  

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