Data Engineer

Date Posted
23rd June 2018
Job Type
Hammersmith and Fulham, London
£40,000 to £75,000 Per Annum
10% bonus

Data Engineer

West Central London

Up to £75,000 + Benefits

This is the chance to work in one of the fastest growing companies in the World. They have already grown to 700 employees in 2 years and fully expect this growth to continue in the near future. They have a highly advanced data infrastructure, based in Python, AWS, Kafka and Spark and are looking to make this a real-time solution in the near future.


This company has created a streaming platform that will rival the likes of Netflix, BBC iPlayer and Amazon Prime. They have experienced huge amounts of success and growth in their first two years, reaching 700 employees and 7 countries already. They are aiming to continue this growth and their data team will be core to this, hence why this hire is available.


As a Data Engineer, you will:

  • Work alongside 4 other data engineers to develop and build our the core data platform for the company. This will mainly be done using Python, AWS, Kafka and Spark.
  • Contribute to the architectural design of the data platform and help develop POC's alongside a talented data architect.
  • Create scalable data pipelines to help solve business critical issues and also evolve the existing ETL pipelines built in Python and Pandas.
  • Migrate the ETL process from static EC2 instances to a continuous delivery model using tech that you feel is best for the job.
  • Research real-time streaming analytics to build upon the current data solution.


As a Data Engineer, you will:

  • Have the ability to communicate technical solutions to non-technical people.
  • Have strong knowledge of the AWS data tools.
  • Experience using Python in a professional environment.
  • Be proficient in designing robust ETL work flows.


  • The chance to work in one of the fastest growing companies in London, that have growth plans to expand across the globe.
  • Earn a salary of up to £75,000 plus an excellent benefit package.
  • Work alongside a very talented team of data professionals who have previously worked with Amazon, Netflix, BBC etc.

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