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Data Engineer


Greater London Permanent £60000.00 - £90000.00 per annum

Data Engineer
Canary Wharf, London
£60,000 – £90,000 DOE

We have an incredible opportunity for an experienced Data Engineer who will have the chance of a lifetime to join a brand new data lab for one of the worlds most successful global banking organisations. This is an opportunity for you to work on the largest aggregation of data across the big data lake ever! We’re talking about an opportunity where you have more than 100 use cases and a large data set of more than 20PTB. You will be at the forefront of an exciting data transformation joining a team who deploy smart machines to mine data impossible for a human to do.

As a Data Engineer you will;

  • Collect, store, analyse and process huge sets of data
  • Implement ETL processes within a cloud environment (Google Cloud)
  • Construct robust data pipelines for machine learning and NLP engines
  • Work with structured and unstructured data in a continuous delivery environment
  • Work with NoSQL databases such as MongoDB

The successful Data Engineer will bring;

  • Minimum 2-3 years+ commercial data engineering experience working with Hadoop
  • Knowledgeable in various ETL techniques and frameworks
  • Experience with Python is a must including 1 web framework i.e tornado, twist or Flask for example (any scientific stack with Anaconda or similar is advantageous but not essential)
  • Know how to manage a Hadoop cluster and distributed computing to build scalable applications.

In return you will be offered a market leading package, work in a start-up environment with all the benefits of a major FTSE100 corporation and the opportunity to develop prototype machine learning models into robust production systems which will empower new product developments and service offerings to millions of customers all over the world.

Apply now for immediate interview!

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Job Reference: JO-1807-137301

Salary: £60000.00 - £90000.00 per annum

Salary per: Annum

Job Duration:

Job Start Date: 1-3 months or asap

Job Type:

Job Location:

Job Industry:

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