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
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💰 - Day rate
Unknown
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🗓️ - Date
July 15, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - 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.