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Snowflake Data Engineer
£110,000 - 120,000
IO Associates
Charing Cross, London
£110,000 - 120,000
Requirements
Must:
We are looking for candidates who have strong experience with Snowflake data warehousing, solid AWS cloud engineering skills, and proficiency in Python for data engineering workflows. Candidates should also be skilled in building and maintaining Airflow DAGs and have familiarity with Apache Iceberg for table format and data lake optimization.
Responsibilities
As a Contract Data Engineer with us, you will play a key role in building and optimizing data pipelines, supporting modern data platform architecture, and enabling advanced analytics and reporting capabilities.
Description
This position is a 6-month contract based in London, with a hybrid work model requiring three days per week onsite. The day rate for this position ranges from £550 to £600, and it falls under the Inside IR35 regulations. Please note that we are currently only accepting applications from UK-based candidates who have the right to work in the UK.
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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 1092 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?
Unisys, onebillion, Core-Asset Consulting, ApplianSys, Defaqto, u-blox, SpaMedica among others, are currently hiring for Data roles in the UK.
The company with most openings is DataAnnotation as they are hiring for 45 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.
The company with most openings is DataAnnotation as they are hiring for 45 different Data Engineer jobs in the UK. They are probably quite committed to find good Data Engineers.