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Lead Data Engineer - London/Hybrid - £80k

Job LocationLondon
EducationNot Mentioned
Salary£70,000 - £80,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time or part-time

Job Description

Lead Data Engineer - London/Hybrid - £80k Please note - this role requires you to be based in the UK. Unfortunately this role is not able to offer sponsorship. I am working with on of the UKs leading public transport companies who are looking for a Data Engineer to join their team based in Central London. The organisation have invested significantly in their data function in the past 2 years with the aim for thebusiness to make data-led decisions and generate in house data solutions.They are currently working to develop their product roadmap and are looking to develop an in house Data Centre of Excellence. This team is the focal point for everything data related within the organisation and lead on projects to help predict future revenue,understand financial costs and pinch points and monitor operational activities. This is an exciting time to join the team and help shape the way that the organisation use their data moving forward.As part of this role, you will be responsible for some of the following areas.

  • Create, develop and maintain robust data pipelines for data ingestion and transformation purposes
  • Work closely with other Data Engineers to create effective data models
  • Work collaboratively as part of the organisations data team on their data migration project
  • Engage with stakeholders from various departments to understand requirements and deliver them data that is required
This is a salaried role paying up to £65,000 per year depending on experience. This is a hybrid role where you will be required to work in the organisations Central London office on a weekly basis. There is also a company benefits package which includes-
  • Up to 10% annual salary
  • Subsided travel
  • 25 days holiday
  • Private health insurance
To be successful in this role you will have:
  • Strong knowledge of SQL and Python
  • Commercial experience using the Azure Data Platform
  • Strong experience with Databricks
  • Experience creating, developing and maintaining ETL pipelines
To apply for this role submit your CV or contact David Airey on or at .

Keyskills :
sql data python ssrs ssas developer ssis data analysis data warehousing business intelligence bi azure bi developer data developer power bi

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