

eTeam
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Northampton, UK, on a 6-month hybrid contract, paying £440-460 per day (Inside IR35). Requires 8-10 years of experience, expertise in AWS services, SQL, Python, and data engineering in banking.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
460
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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
-
🔒 - 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 #AWS S3 (Amazon Simple Storage Service) #Security #Redshift #AWS Lambda #Data Warehouse #Programming #SNS (Simple Notification Service) #Scripting #Data Quality #IAM (Identity and Access Management) #SQS (Simple Queue Service) #Linux #Data Processing #Scala #Data Pipeline #Python #AWS (Amazon Web Services) #Lambda (AWS Lambda) #Snowflake #VPC (Virtual Private Cloud) #Shell Scripting #Unix #Infrastructure as Code (IaC) #Cloud #dbt (data build tool) #AWS Glue #Athena
Role description
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Role Title: Data Engineer
Location: Northampton, UK
Contract duration: 6 months
Work mode: Hybrid, 2 days WFO/week
Pay Rate: £440 to 460 per day all inc. (Inside IR35)
Industry: Banking (preferred)
Minimum years of experience: 8 to 10 years
Job Description:
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
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 solutions using Client S3 and AWS Lake Formation.
• Develop and support ETL/ELT workflows using AWS Glue, Python, and SQL.
• Design and implement serverless data processing solutions using AWS Lambda.
• Orchestrate and automate data workflows using AWS Step Functions.
Data Warehousing & Analytics
• Design, develop, and optimize data warehouse solutions using Client Redshift.
• Enable data analytics and reporting through Client 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.
Qualifications & Experience
• Bachelor's or Master's degree in a related field.
• 8+ years of experience of overall experience and 6+ years of experience as AWS Data Engineer
Preferred Experience (Nice to Have)
• GitLap
• Nexus Repository Manager
• Redshift Performance Optimization
• Snowflake
• DBT (Data Build Tool)
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Role Title: Data Engineer
Location: Northampton, UK
Contract duration: 6 months
Work mode: Hybrid, 2 days WFO/week
Pay Rate: £440 to 460 per day all inc. (Inside IR35)
Industry: Banking (preferred)
Minimum years of experience: 8 to 10 years
Job Description:
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
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 solutions using Client S3 and AWS Lake Formation.
• Develop and support ETL/ELT workflows using AWS Glue, Python, and SQL.
• Design and implement serverless data processing solutions using AWS Lambda.
• Orchestrate and automate data workflows using AWS Step Functions.
Data Warehousing & Analytics
• Design, develop, and optimize data warehouse solutions using Client Redshift.
• Enable data analytics and reporting through Client 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.
Qualifications & Experience
• Bachelor's or Master's degree in a related field.
• 8+ years of experience of overall experience and 6+ years of experience as AWS Data Engineer
Preferred Experience (Nice to Have)
• GitLap
• Nexus Repository Manager
• Redshift Performance Optimization
• Snowflake
• DBT (Data Build Tool)
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.






