Posted on Aug 28 2018 (27 days ago)
Do you want to join us on a journey to change the trillion dollar travel industry? We are looking for the best and brightest who share our passion for travellers, data and product. FindHotel believes travel is the one thing that really opens minds to new ideas, cultures and ways of thinking.
Our mission is to get every traveller in the world the best accommodation deal. From adventure travel and backpacking to honeymoons and family vacations, we deeply care so that every traveller can make the best informed accommodation choice at the absolute best conditions for every trip.
To make that possible we are collecting and analysing a vast amount of data. In the last 12 months we helped travellers book 1 million nights, while growing profitably at +100% a year, a unique achievement in the accommodation industry today. Overall, our data pipeline is currently ingesting about 80 GBs of data per hour and growing quickly as we grow as well. Using these large datasets effectively is a continuous challenge for our analysts and data scientists.
We are looking for an enthusiastic, motivated Business Intelligence Engineer to help scale our data warehousing and business intelligence capabilities to make sure all our teams have the right data efficiently available whenever they need it. You will collaborate with team members with a wide range of expertise, including engineers, analysts and a PO.
We are working with a modern stack including Amazon Redshift/Spectrum and Looker. We work in a flexible, results-oriented team structure, focused on shipping value in a collaborative fashion, with just the right amount of bureaucracy.
What you will be doing
What a day in the office might look like
In the morning, you have a quick look at the overnight ETL summary to make sure that users will get the most recent and fault-free data. During a daily stand-up, you sync with the team and chat about ingesting data from the new marketing platform. Next, you move on to building a new Looker dashboard to expose data from the new platform to our marketers - let's experiment a bit here and provide data using few different visualisations and data presentation methods - you can then gather some feedback from those smart guys, after all, the most important objective is to allow them to explore data as seamlessly as possible. After lunch and few intensive table tennis games, now it's a good moment to think about how to validate data from the new marketing platform - the nature of ETL or complex SQL calculations is that they like to lose some data points - but you're here to understand and prevent such situations. At the end of the day, you sit together with a data engineer to resolve an issue raised by one of the data scientists.
You will be working with the Data Engineers and other BI Engineers within the Data Engineering squad, also collaborating with data scientists and analysts in other teams.
People we love
Do you want to know if FindHotel is the right place for you? Find out by reading our CEO's blog post.
What we offer
Blog posts worth reading: