UK IT Jobs
AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "AWS Data Engineer" on a contract basis, requiring expertise in AWS Cloud architecture, data pipeline automation, and ETL development. Essential skills include AWS Glue, Lambda, and Athena. Strong communication with stakeholders is necessary.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 6, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Bath, England, United Kingdom
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🧠 - Skills detailed
#AWS RDS (Amazon Relational Database Service) #Datasets #AWS Glue #Cloud #Lambda (AWS Lambda) #Automation #Data Engineering #S3 (Amazon Simple Storage Service) #AWS Lambda #Data Pipeline #CLI (Command-Line Interface) #"ETL (Extract #Transform #Load)" #DevOps #BI (Business Intelligence) #Data Quality #Redshift #Spark SQL #AWS CLI (Amazon Web Services Command Line Interface) #Azure DevOps #Python #Microsoft Power BI #AI (Artificial Intelligence) #RDS (Amazon Relational Database Service) #SageMaker #AWS SageMaker #AWS (Amazon Web Services) #Azure #AWS CloudWatch #SQL (Structured Query Language) #Spark (Apache Spark) #Athena
Role description
The Senior Data Engineer must be an experience data professional with in-depth skills on AWS Cloud architecture, AWS data services, Data Pipeline automation (with AI integrations desirable) and ETL development (design, build, test and performance tune).
Must have knowledge on data modelling techniques, including dimensional models and conformed datasets.
As the role is to engage both business and technical stakeholders, the individual must have clear and adequate communication with different stakeholders at the various levels of seniority.
Knowledge and Experience - essential
AWS Glue ETL
AWS Glue Data Quality
AWS Lambda
AWS Lake Formation
Medallion Architecture based ETL processes using S3, Iceberg and Athena
Azure DevOps/AWS CodeCommit/AWS CodePipeline
AWS Step functions
Athena SQL ; Spark SQL ; Python
AWS CLI
Release management (CI/CD)
Knowledge and Experience - desirable
AWS Databrew
AWS RDS/Redshift
AWS Macie
AWS CloudWatch
AWS Quick
AWS Sagemaker (Unified Studio and AI)
• Power BI
The Senior Data Engineer must be an experience data professional with in-depth skills on AWS Cloud architecture, AWS data services, Data Pipeline automation (with AI integrations desirable) and ETL development (design, build, test and performance tune).
Must have knowledge on data modelling techniques, including dimensional models and conformed datasets.
As the role is to engage both business and technical stakeholders, the individual must have clear and adequate communication with different stakeholders at the various levels of seniority.
Knowledge and Experience - essential
AWS Glue ETL
AWS Glue Data Quality
AWS Lambda
AWS Lake Formation
Medallion Architecture based ETL processes using S3, Iceberg and Athena
Azure DevOps/AWS CodeCommit/AWS CodePipeline
AWS Step functions
Athena SQL ; Spark SQL ; Python
AWS CLI
Release management (CI/CD)
Knowledge and Experience - desirable
AWS Databrew
AWS RDS/Redshift
AWS Macie
AWS CloudWatch
AWS Quick
AWS Sagemaker (Unified Studio and AI)
• Power BI
