Ampstek
AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer on a 6-month contract in Northampton, UK (Hybrid – 2 Days/Week), offering a competitive pay rate. Key skills include AWS services, SQL, Python, ETL/ELT, and data warehousing experience.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
July 16, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Shell Scripting #SQL (Structured Query Language) #GIT #SNS (Simple Notification Service) #"ETL (Extract #Transform #Load)" #Python #VPC (Virtual Private Cloud) #Data Warehouse #IAM (Identity and Access Management) #AWS S3 (Amazon Simple Storage Service) #Unix #Athena #SQS (Simple Queue Service) #Programming #Security #Infrastructure as Code (IaC) #Scala #Scripting #Data Processing #Redshift #AWS (Amazon Web Services) #Data Engineering #Linux #Data Lake #S3 (Amazon Simple Storage Service) #Lambda (AWS Lambda) #Amazon Redshift #Data Pipeline #AWS Lambda #Cloud #Data Quality
Role description
Job Title: AWS Data Engineer
Location: Northampton, UK (Hybrid – 2 Days/Week)
Job Type: Contract (6 Months)
Key Responsibilities
Data Engineering & Platform Development
Design, develop, and maintain scalable, secure,and high-performance data pipelines on AWS.
Build and manage enterprise data lake solutionsusing Amazon S3 and AWS Lake Formation.
Develop and support ETL/ELT workflows using AWSGlue, Python, and SQL.
Design and implement serverless data processingsolutions using AWS Lambda.
Orchestrate and automate data workflows using
AWS Step Functions. Data Warehousing & Analytics
Design, develop, and optimize data warehouse solutions using Amazon Redshift.
Enable data analytics and reporting throughAmazon Athena.
Ensure data quality, integrity, and availability across the data platform.
Cloud Infrastructure & Security
Configure and manage AWS services including IAM,
VPCs, Subnets, SNS, and SQS.
Develop Infrastructure as Code (IaC) using AWS
CloudFormation.
Core Skills & Competencies
AWS: S3, IAM, Lambda, Glue, Step Functions, Lake
Formation, VPC & Subnets, Athena, Redshift, Service Catalog,
CloudFormation, SNS, SQS
Programming: SQL, Python, ETL/ELT
Development: Unix/Linux, Shell Scripting, Git
Job Title: AWS Data Engineer
Location: Northampton, UK (Hybrid – 2 Days/Week)
Job Type: Contract (6 Months)
Key Responsibilities
Data Engineering & Platform Development
Design, develop, and maintain scalable, secure,and high-performance data pipelines on AWS.
Build and manage enterprise data lake solutionsusing Amazon S3 and AWS Lake Formation.
Develop and support ETL/ELT workflows using AWSGlue, Python, and SQL.
Design and implement serverless data processingsolutions using AWS Lambda.
Orchestrate and automate data workflows using
AWS Step Functions. Data Warehousing & Analytics
Design, develop, and optimize data warehouse solutions using Amazon Redshift.
Enable data analytics and reporting throughAmazon Athena.
Ensure data quality, integrity, and availability across the data platform.
Cloud Infrastructure & Security
Configure and manage AWS services including IAM,
VPCs, Subnets, SNS, and SQS.
Develop Infrastructure as Code (IaC) using AWS
CloudFormation.
Core Skills & Competencies
AWS: S3, IAM, Lambda, Glue, Step Functions, Lake
Formation, VPC & Subnets, Athena, Redshift, Service Catalog,
CloudFormation, SNS, SQS
Programming: SQL, Python, ETL/ELT
Development: Unix/Linux, Shell Scripting, Git
