

iXceed Solutions
AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer with 6-month contract in Northampton, UK (Hybrid). Requires 8-10 years IT experience, 6 years in AWS Data Engineering, expertise in AWS services, Python, SQL, and relevant degree.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
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🗓️ - Date
July 15, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Inside IR35
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🔒 - Security
Unknown
-
📍 - Location detailed
Northampton, England, United Kingdom
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🧠 - Skills detailed
#Data Lake #"ETL (Extract #Transform #Load)" #GIT #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #Data Engineering #Security #Redshift #AWS IAM (AWS Identity and Access Management) #AWS Lambda #Data Warehouse #SNS (Simple Notification Service) #Scripting #Data Quality #IAM (Identity and Access Management) #SQS (Simple Queue Service) #Linux #GitLab #Data Processing #Amazon Redshift #Scala #Data Pipeline #Python #AWS (Amazon Web Services) #Lambda (AWS Lambda) #Snowflake #VPC (Virtual Private Cloud) #Computer Science #Shell Scripting #Unix #Infrastructure as Code (IaC) #Cloud #dbt (data build tool) #AWS Glue #Athena
Role description
Data Engineer (AWS)
Location - Northampton, UK (Hybrid – 2 days per week onsite)
Contract
• Initial 6-month contract
• Inside IR35
Experience Required
• 8–10 years of overall IT experience
• Minimum 6 years of hands-on experience as an AWS Data Engineer
About the Role
We are looking for an experienced AWS Data Engineer to join a leading banking client. The ideal candidate will have strong expertise in designing and developing cloud-based data platforms, building scalable data pipelines, and implementing modern data warehouse solutions on AWS.
Key Responsibilities
• Design, develop, and maintain scalable, secure, and high-performance data pipelines on AWS.
• Build and manage enterprise data lake solutions using Amazon S3 and AWS Lake Formation.
• Develop and support ETL/ELT solutions using AWS Glue, Python, and SQL.
• Implement serverless data processing solutions using AWS Lambda.
• Orchestrate and automate workflows using AWS Step Functions.
• Design and optimize Amazon Redshift data warehouse solutions.
• Enable analytics and reporting using Amazon Athena.
• Ensure data quality, integrity, security, and availability across the data platform.
• Configure and manage AWS services including IAM, VPC, Subnets, SNS, and SQS.
• Develop Infrastructure as Code (IaC) using AWS CloudFormation.
• Collaborate with cross-functional teams to deliver scalable and reliable data solutions.
Required Skills
AWS Services
• Amazon S3
• AWS Glue
• AWS Lambda
• AWS Step Functions
• AWS Lake Formation
• Amazon Redshift
• Amazon Athena
• AWS IAM
• VPC & Subnets
• AWS CloudFormation
• SNS
• SQS
• AWS Service Catalog
Technical Skills
• Python
• SQL
• ETL / ELT Development
• Unix / Linux
• Shell Scripting
• Git
Preferred Skills
• GitLab
• Nexus Repository Manager
• Snowflake
• DBT (Data Build Tool)
• Redshift Performance Optimization
Qualifications
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
If you have strong AWS Data Engineering experience and are interested in working on an exciting banking project, we'd be happy to hear from you.
Data Engineer (AWS)
Location - Northampton, UK (Hybrid – 2 days per week onsite)
Contract
• Initial 6-month contract
• Inside IR35
Experience Required
• 8–10 years of overall IT experience
• Minimum 6 years of hands-on experience as an AWS Data Engineer
About the Role
We are looking for an experienced AWS Data Engineer to join a leading banking client. The ideal candidate will have strong expertise in designing and developing cloud-based data platforms, building scalable data pipelines, and implementing modern data warehouse solutions on AWS.
Key Responsibilities
• Design, develop, and maintain scalable, secure, and high-performance data pipelines on AWS.
• Build and manage enterprise data lake solutions using Amazon S3 and AWS Lake Formation.
• Develop and support ETL/ELT solutions using AWS Glue, Python, and SQL.
• Implement serverless data processing solutions using AWS Lambda.
• Orchestrate and automate workflows using AWS Step Functions.
• Design and optimize Amazon Redshift data warehouse solutions.
• Enable analytics and reporting using Amazon Athena.
• Ensure data quality, integrity, security, and availability across the data platform.
• Configure and manage AWS services including IAM, VPC, Subnets, SNS, and SQS.
• Develop Infrastructure as Code (IaC) using AWS CloudFormation.
• Collaborate with cross-functional teams to deliver scalable and reliable data solutions.
Required Skills
AWS Services
• Amazon S3
• AWS Glue
• AWS Lambda
• AWS Step Functions
• AWS Lake Formation
• Amazon Redshift
• Amazon Athena
• AWS IAM
• VPC & Subnets
• AWS CloudFormation
• SNS
• SQS
• AWS Service Catalog
Technical Skills
• Python
• SQL
• ETL / ELT Development
• Unix / Linux
• Shell Scripting
• Git
Preferred Skills
• GitLab
• Nexus Repository Manager
• Snowflake
• DBT (Data Build Tool)
• Redshift Performance Optimization
Qualifications
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
If you have strong AWS Data Engineering experience and are interested in working on an exciting banking project, we'd be happy to hear from you.






