Data Engineer // Culture Trip

September 9, 2019

Culture Trip is a global hyper-growth startup operating in travel, media and entertainment. We create stories that reveal what is unique and special about a place, its people and its culture. In-house creative teams work with a global network of more than 300 freelance creators to produce articles, videos, photography, illustration and animation.  
From just a dozen people in late 2016, the team has expanded to more than 250. This diverse group of software engineers, product designers, data scientists, editorial experts and content creators are spread across offices in London, New York City and Tel Aviv. Alumni of companies including Google, Facebook, Expedia, Lonely Planet, Spotify, Bloomberg, Viacom, TripAdvisor and the BBC have joined recently. A recent Series B funding injection from PPF Group of $80 million has further propelled rapid growth. Monthly unique visitors to the site have gone from 4 million to nearly 20 million, cross-platform social followers have increased from 1 million to 7 million, and app downloads have leapt from 50,000 to 1.5 million. Culture Trip videos have been viewed more than 2 billion times. Culture Trip, founded by Dr Kris Naudts, has been named by Forbes as one of the fastest-growing companies to watch.
Everyone working at Culture Trip is driven by a shared vision: to inspire people to go beyond their cultural boundaries and connect with the world around them. We want to bring the world to everyone and in doing so bring everyone closer together.
We’re looking for a Data Engineer to be a key member of our Data team in London. Our Data team encompasses Data Scientists, Data Analysts and Business Intelligence, working across a number of product squads in London. As a part of the Data team you will be working on building a scalable robust solutions, that serves data in real time, and supports a large scale Machine Learning Algorithms. Come work in a challenging environment and build cutting edge solutions to support our business needs.

Main Responsibilities:

    • Deliver large scale algorithms in production
    • Building suitable environments for deployment
    • Parse and handle huge data sets
    • Build and manage data pipeline architecture
    • Design and implement internal process improvements
    • Manage data integration with third party applications
    • Manage requests and stakeholder requirements in a prioritised manner

    Desired Skills and Experience:

      • Bachelor’s degree in computer science, engineering, or equivalent
      • Experience with Scala/Java and Python
      • Experience using Spark, PySpark
      • Experience working with AWS (EMR, S3, Athena, Redshift)
      • Previous experience working in an Agile Environment
      • TDD and Automation
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      Culture Trip is committed to equality of opportunity for all. We strongly believe that diversity of backgrounds, ethnicities, experience, circumstances, abilities and perspectives leads to a better workplace for our employees and a better product for our users.
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