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Data Engineer

Greater London Permanent £60000.00 - £80000.00 per annum + bonus, stocks, benefits

DATA ENGINEER
Spark, ETL, MYSQL

How would you like to work for a major proptech company growing 400% and expanding rapidly working with huge datasets for a close partner to the likes of Airbnb? If you’re a Data Engineer with experience using Spark, ETL or working in a big data environment with a strong interest in data warehouses and data loading systems then this could be the right move for you….

As a Data Engineer you will be building complex ETL pipelines working on greenfield projects such as data analytics and across the infrastructure from the ground up in a small agile team.

Technology Stack:
Python, Rails, Node.Js, Spark, ETL, MySQL, AWS, PIG, Spark, Storm, Ember.js, Hive

What we want:

  • Experience with big data tools such as Hadoop, Spark, Hive, PIG
  • Experience with data structures and data modelling
  • Know what it takes to build and deploy in an AWS environment.
  • Experience with data warehouses and building ETL data pipelines.

What we offer:

  • A flexible working environment, you can work anywhere you want to, doesn’t have to be 9-5 in the office.
  • A high calibre team of problem solvers who are more interested in how you approach a challenge rather than know everything in the technology stack.
  • A fast growing series B company with equity in the company
  • A vast array of benefits including company phone, competitive salary, discounted travel

Please note we cannot accept applications from Data Engineers who require sponsorship. Only candidates eligible to live and work in the UK will be considered. Apply now for immediate interview at a time convenient to you.

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Job Information

Job Reference: JO-1808-138682
Salary: £60000.00 - £80000.00 per annum + bonus, stocks, benefits
Salary per: annum
Job Duration:
Job Start Date: 24/09/2018
Job Industries: Data
Job Locations: Greater London
Job Types: Permanent
Job Skills: big data node.js, Data Engineer, ETL, Hadoop, SPARK, SQL

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Data Engineer

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