BlueRose Technologies
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a contract basis in Bath, UK, hybrid (3 days onsite). Requires expertise in AWS data platforms, ETL development, and data pipeline automation. Key skills include AWS Glue, Lambda, and strong stakeholder communication.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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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
#DevOps #CLI (Command-Line Interface) #Lambda (AWS Lambda) #Azure DevOps #AWS CLI (Amazon Web Services Command Line Interface) #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #"ETL (Extract #Transform #Load)" #Azure #Data Quality #Spark (Apache Spark) #AWS Glue #Spark SQL #AWS Lambda #Athena #Datasets #Automation #Scala #Python #SQL (Structured Query Language) #Cloud #Data Pipeline #Data Engineering
Role description
Job Title: Senior Data Engineer
Location: Bath, UK Hybrid (3 days onsite per week)
Job Type: Contract
Job Description
We are looking for an experienced Senior Data Engineer with strong expertise in AWS cloud data platforms, ETL development, and data pipeline automation. The role involves designing, building, testing, and optimizing scalable data solutions while collaborating with both business and technical stakeholders.
Key Skills
• AWS Glue ETL & AWS Glue Data Quality
• AWS Lambda
• AWS Lake Formation
• Medallion Architecture (S3, Iceberg, Athena)
• AWS Step Functions
• Athena SQL, Spark SQL, Python
• AWS CLI
• CI/CD, Release Management
• Azure DevOps / AWS CodeCommit / AWS CodePipeline
• Data Modelling (Dimensional Models & Conformed Datasets)
• Strong stakeholder communication skills
Job Title: Senior Data Engineer
Location: Bath, UK Hybrid (3 days onsite per week)
Job Type: Contract
Job Description
We are looking for an experienced Senior Data Engineer with strong expertise in AWS cloud data platforms, ETL development, and data pipeline automation. The role involves designing, building, testing, and optimizing scalable data solutions while collaborating with both business and technical stakeholders.
Key Skills
• AWS Glue ETL & AWS Glue Data Quality
• AWS Lambda
• AWS Lake Formation
• Medallion Architecture (S3, Iceberg, Athena)
• AWS Step Functions
• Athena SQL, Spark SQL, Python
• AWS CLI
• CI/CD, Release Management
• Azure DevOps / AWS CodeCommit / AWS CodePipeline
• Data Modelling (Dimensional Models & Conformed Datasets)
• Strong stakeholder communication skills
