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Hays jobs

Data Engineer - Active SC Clearance

£132,000 - 132,000
Hays
Cheapside 107, London
£132,000 - 132,000
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Regular
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
I require commercial experience as a Senior Data Engineer, holding active SC and NPPV3 Clearance. You should have experience with Azure Data Factory for building and orchestrating data pipelines, as well as experience with Databricks for data transformation. Familiarity with Azure Synapse and Azure Data Lake is essential.

Technologies

Databricks

Responsibilities

As a Senior Data Engineer, you will work with our end client to ensure the efficient management and transformation of data. You will leverage your expertise in Azure Data Factory and Databricks to build and orchestrate data pipelines, while also utilizing Azure Synapse to manage data effectively.

Description


This position offers up to £550 per day (outside IR35) for an initial duration of 3 months. The role is primarily remote, but you must be based in the UK. Immediate availability is a nice to have.
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You can find Data Engineer salaries in the UK here.

How many Data Engineer jobs are in the UK?

Currently, there are 1029 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.

Is the UK a good place for Data Engineers?

The UK is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.

Which companies are hiring for Data Engineer jobs in the UK?

Cencora, Unisys, onebillion, Core-Asset Consulting, ApplianSys, Extension Hub, u-blox among others, are currently hiring for Data roles in the UK.

The company with most openings is Ocho as they are hiring for 57 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.