Big Data Engineer (m/f) (Part-or Fulltime) // Outfittery

September 12, 2018

OUTFITTERY is Europe’s largest Personal Shopping Service for men. We know that shopping isn’t a pleasure for every man, but we’re here to change that! This is why we set a clear goal: a world where men have time for the important things in life and are still well-dressed.

Your tasks:

  • Build and maintain our data and analytics infrastructure
  • Grow our analytics capabilities with faster, more reliable data pipelines, and better algorithms
  • Develop a real-time events pipeline and work with data scientists, data analysts, backend engineers and product managers to find new ways to leverage these data
  • Collect, transform and prepare our data sources to provide data in a reliable and scalable manner to the rest of the organisation
  • Optimise and migrate existing data procedures into the data platform
  • Solve challenging problems in areas such as distributed systems, integration of machine learning algorithms and data processing

Your profile:

  • At least 3 years experience as a Big Data Engineer or as Software Engineer building scalable data systems
  • Hands-on experience with big data technologies such as Spark, Flink, Hadoop, Kafka and Elasticsearch
  • Experience with relational database technologies such as PostgreSQL, Hive, etc.
  • Experience building scalable software to process large amounts of data
  • Experience in developing and optimizing data pipelines
  • Solid programming skills in Java/Scala

We offer:

  • An international and smart team which is eager to revolutionize shopping for men
  • A transparent company culture with highly motivated colleagues, which work on our ambitious goals
  • An exciting and responsible role, with great impact
  • An honest and open feedback culture and individual development opportunities

Intrigued? Then send us your application with your salary expectations and possible starting date. Your contact person is Eva Cortes Romero

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