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Lead Data Engineer / Data Engineering Manager

Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

Lead Data Engineer - Permanent - £85k - £90k - Remote working / London / M4 CorridorWere working with a rapidly growing global company who are looking to build out their Data Engineering team and are looking to recruit a talented Data Engineering Lead.Reporting into the Head of Delivery, this role will head up a small team of Data Engineers; Your role will be to build data platforms and data pipelines - including Data Lakes, Data Warehouses & Power Bi - Using the Microsoft Azure stack - to provide real time data / important intelligence for the Data Analysts and Data Scientists of the organisation. This will also include social media scrapping (using for example Python / Spark technologies) sentimental analysis, infomration from the dark webAt the moment, this is a small IT estate with small volumes of data. So they are not looking for someone who wants to work with terabytes of data, were looking for someone who is more interested in the intelligence around what the data does rather than the amount of data.We are looking for someone who is:

  • Passionate about Data and interested in working on Greenfield projects, to help shape and build the data and intelligence function
  • Has high energy and drive and who is looking to secure a challenging role in a company where they can grow their career
  • Has solid experience of working in an Agile environment in an iterative fashion using Kanban methodologies
  • Has 3-5 years experience in a Lead Data Engineering role
  • This role will be working remotely, with occaissional travel to the London office / a South West hub tbc.If this is you, submit your CV today - I look forward to talking you through this role in more detail. Required skills
  • Data Platforms / data lake / PowerBI / Azure / Python / Data Bricks / Intelligence / Security / Automation / Machine Learning / Data Infrastructure /
  • Keyskills :
    Data Platfms / data lake / PowerBI / Azure / Python / Data Bricks / Intelligence / Security / Automation / Machine Learning / Data Infrastructure /

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