Data Engineer

Advertiser
Harnham
Company
Harnham
Date Posted
15th April 2018
Reference
18010/RW
Job Type
Permanent
Location
London
Salary
£50,000 to £90,000 Per Annum

Data Engineer - Python, R, AWS, SQL
Central London
£50,000 to £90,000

A business doing ground-breaking and confidential work in their sector are looking for Data Engineers to prepare data for avanced Data Science as well as productionising data science solutions on AWS. The team use a wide range of advanced techniques including Deep Learning for NLP and Image recognition and web scraping to access large and messy data sources to give them an advantage over their competitors. Their Data Science team are some of the best professionals on the market and the Head of Analytics reports directly to the owners. The aim is to grow an equivalent team of 6 Data Engineers to partner with the Data Scientists to improve the quality and efficiency of their solutions.

If you want to join a team doing genuine pioneering work in analytics and their industry sector, this coule be the role for you.

YOUR ROLE AND RESPONSIBILITIES

As Data Engineer, you will:

  • Work with Data Scientists to put their code into production using Python, R, and a range of AWS technologies
  • Access multiple data sources including web scraping, image, and others
  • In the long term, contribute to building a big data platform in AWS incorporating real-time streaming in Kafka
  • Promote strong coding practice in an Agile environment

YOUR SKILLS AND EXPERIENCE

To qualify for the Data Engineering role, you will need:

  • Strong Python and R programming skills, with an open mind to using other languages
  • Excellent knowledge of Databases and SQL
  • Ideally knowledge of AWS
  • An interest in the most advanced data science techniques on the market, e.g. Deep Learning, image recognition, NLP, Web Scraping
  • Strong academic background

HOW TO APPLY

In order to apply for this Data Engineering role, please do so via this site. For more information, reach out to Ross at Harnham.

KEYWORDS: Python, R, AWS, SQL, Deep Learning, NLP, Data Science, Data Engineering

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