AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AWS Data Engineer on a contract basis in London, UK (Hybrid). Requires 10+ years of experience with AWS, Python, and Azure Databricks, focusing on ETL pipelines, data transformation, and compliance in cloud data engineering.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
August 15, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Storage #Amazon Redshift #AWS Glue #AWS (Amazon Web Services) #Databricks #Python #Cloud #Compliance #Data Security #Security #Scala #Batch #Data Processing #Data Engineering #S3 (Amazon Simple Storage Service) #Azure Databricks #"ETL (Extract #Transform #Load)" #Amazon EMR (Amazon Elastic MapReduce) #Redshift #Azure
Role description
Role: Senior AWS Data Engineer
Location: London, UK (Hybrid)
Employment type: Contract
10+ years of experience required
• Experience with AWS, Python & Azure Databricks is mandatory.
• Design, develop, and optimize ETL pipelines using AWS Glue, Amazon EMR and Kinesis for real-time and batch data processing.
• Implement data transformation, streaming, and storage solutions on AWS, ensuring scalability and performance.
• Collaborate with cross-functional teams to integrate and manage data workflows.
• Skill set- Amazon Redshift, S3, AWS Glue, Amazon EMR, Kinesis Analytics
• Ensure data security, compliance, and best practices in cloud data engineering
Role: Senior AWS Data Engineer
Location: London, UK (Hybrid)
Employment type: Contract
10+ years of experience required
• Experience with AWS, Python & Azure Databricks is mandatory.
• Design, develop, and optimize ETL pipelines using AWS Glue, Amazon EMR and Kinesis for real-time and batch data processing.
• Implement data transformation, streaming, and storage solutions on AWS, ensuring scalability and performance.
• Collaborate with cross-functional teams to integrate and manage data workflows.
• Skill set- Amazon Redshift, S3, AWS Glue, Amazon EMR, Kinesis Analytics
• Ensure data security, compliance, and best practices in cloud data engineering
