Data Engineer (FTC) - Databricks - London - Up to £70k


Details:
  • Salary: £60,000 - 70,000 - Annum
  • Job Type: Permanent
  • Job Status: Full-Time
  • Salary Per: Annum
  • Location: City of London London
  • Date: 3 weeks ago
Description:

Data Engineer (FTC) - Databricks - London - Up to £70k

My client is an organisation with a global presence. They have a presence all over Europe, Americas, Asia & the Middle east so the work that they do impacts hundreds of thousands of lives across the globe.
They specialise in providing training and educational services to a number of their customers and ultimately, enabling them to be the most successful that they can be.

As part of this company, you will be working in the Data Team that sits within the groups Central Support Unit. You will be involved and working with in all things Data platform related which supports the Power BI Engineer. This involves working with C suite and the wider business to build DWH solutions but also bring out the best of their data using new and emerging tech such as Azure Databricks, Azure Data stack and plenty more!

This is a salaried position paying up to £70k. Whilst this is a FT contract that will be until the end of 2025, my clients intention is to turn this into a permanent position imminently. You can expect the typical benefits and perks that employers provide as well as the opportunity to work within a hybrid working environment. They operate on a 3 days in office, 2 days WFH set up.

Required skills:

Experience in ADF / Azure Data Factory is essential
Strong SQL
Experience of Databricks
Data warehousingThis is a great opportunity to join outstanding organisation who pride themselves on being one of the best companies to work for across the globe. Interviews are already taking place so don't miss out and apply now!

If this is of an interest then get in touch ASAP. Send across your CV to (url removed) or alternatively, give me a call on (phone number removed).

Keywords: Azure, Microsoft SQL Server, SQL Server, Data Platform, Databricks, ETL, DevOps, Data Warehouse, Architecture, Development, SSIS, T-SQL, SQL, ADF, Data Factory, RDBMS, London

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