Data Engineer

Uniplaces Published: May 25, 2017
Location
Job Type

Description

DESCRIPTION

Uniplaces is creating a trusted, global brand for student accommodation. We believe in empowering student mobility, especially by making the process of finding accommodation online easier. We are an international, venture backed team and a results oriented business with global ambitions. It is important for us to build a strong team spirit in which everyone feels responsible and empowered to achieve their potential and be rewarded for doing so. Uniplaces is supported by top investors who have created leading consumer internet brands such as Zoopla.co.uk and LOVEFiLM.

As we are expanding globally, we’re now looking for a Data Engineer to join our team. It takes a mixture of technical knowledge, analytical skills and pure hustle to be able to succeed in this role.

REQUIREMENTS

If you join us your responsibilities will include but will not be limited to:

  • Enabling the data science for our data scientists to work on
  • Coding and providing the platform for data scientists

Main requirements:

  • Experience setting up Lambda architecture
  • Proven track record of producing quality infrastructures
  • Experience in building a data pipeline from scratch and maintaining it
  • Expertise with the following: Python, Scala, Spark, SQL, Hadoop clusters, Kafka, Cassandra
  • DevOps awareness and ability to manage infrastructure

Nice to have:

  • Previous startup environment experience
  • Background in computer science, artificial intelligence, machine learning

BENEFITS

Some of our employee benefits:

  • Startup experience in our fast-growing, venture backed company;
  • Direct contact with the senior team, and management responsibilities;
  • Quick progression & exposure to all areas of the business;
  • Competitive compensation package, negotiable, based on experience, attractive performance bonus plan & stock option compensation plan;
  • New Macbook;
  • Open vacation policy;
  • A chance to have fun while working;

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