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Job Overview

Data Engineer in London, UK

  • Reference - Senior Data Eng
  • Permanent
  • £70,000 - £85,000 per annum

Data Engineer/ Insight Enigneer/ Business Intelligence/ Data Analyst/ Data Scientist/ Data/ Azure/ Cloud/ DataBricks/ Data Bricks/ IOTEdge/ Kubernetes/ Terraform/ Airflow/ London/ Python/ Spark/ Power BI/ PowerBI/ IOT/ Internet Of Things/ Permanent/ AWS/ GCP/ Google Cloud Platform/ Amazon Web Services/ SQL/ Docker

A rapidly expanding ethical start-up, we partner have reached out to us advising they're on the lookout for a Data Engineer to join their team, on a permanent basis. The company's HQ is based in Central London, but they offer flexible working hours and locations, also as per Government guidelines are currently WFH.

The successful Data Engineer will play a critical role in developing the code that pipelines data from their devices. Their current platform run on Azure and Data Bricks. You will be responsible for ensuring all of the data services are maintained and provide value to clients.

Details;

  • £80,000-£90,000
  • Equity options
  • Unlimited holiday
  • Flexible working hours and location
  • Extensive upskilling opportunities
  • Career growth opportunities as the company growth

Skills;

  • Strong experience in data engineering
  • Experience with Python
  • Have strong ability in Python and develop code that processes data on the edge device
  • Cloud experience
  • Experience working with Kubernetes/Terraform
  • Experience with Spark/Databricks
  • Experience working with Azure, GCP or AWS
  • Experience with all kinds of IOT devices

If you feel this would be of interest, or to find out more, please send me over the latest version of your profile and I will give you a call.

Data Engineer/ Insight Enigneer/ Business Intelligence/ Data Analyst/ Data Scientist/ Data/ Azure/ Cloud/ DataBricks/ Data Bricks/ IOTEdge/ Kubernetes/ Terraform/ Airflow/ London/ Python/ Spark/ Power BI/ PowerBI/ IOT/ Internet Of Things/ Permanent/ AWS/ GCP/ Google Cloud Platform/ Amazon Web Services/ SQL/ Docker

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