Athsai
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with strong experience in AWS, PySpark, and SQL. The contract lasts for an unspecified duration at £300/day, and it allows for remote work. Key skills include ETL pipeline development, Apache Airflow, and Terraform.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
300
-
🗓️ - Date
March 6, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#PySpark #Apache Airflow #"ETL (Extract #Transform #Load)" #Programming #Datasets #Data Pipeline #GitHub #SQL (Structured Query Language) #Cloud #Airflow #Deployment #Scala #Data Engineering #AWS (Amazon Web Services) #Spark (Apache Spark) #Terraform #Lambda (AWS Lambda) #RDS (Amazon Relational Database Service) #S3 (Amazon Simple Storage Service) #Redshift #Python
Role description
🚀 Data Engineer – AWS | PySpark | SQL | Lambda
📍 London / Remote
💼 Contract | £300/day | Outside IR35
🌟 About the Role
We are seeking a talented and driven Data Engineer to join a forward-thinking organisation where data sits at the heart of decision-making. You will design and build scalable, high-performance data pipelines that power analytics and business insights across the company.
This is an exciting opportunity to work with modern cloud technologies, contribute to mission-critical systems, and make a real impact in a fast-paced, collaborative environment.
🔧 What You’ll Be Doing
• Designing and implementing robust ETL pipelines to move and transform data at scale
• Building cloud-native solutions on AWS to ensure reliability and performance
• Working with PySpark, Python, and SQL to process large datasets efficiently
• Orchestrating workflows using Apache Airflow
• Leveraging AWS services such as S3, RDS, Redshift, and Lambda
• Deploying infrastructure using Terraform and Infrastructure-as-Code best practices
• Automating releases through CI/CD pipelines with GitHub Actions
• Collaborating closely with engineering and analytics teams to deliver high-quality solutions
✅ Required Skills
• Strong experience with PySpark and AWS
• Proven background building and maintaining ETL pipelines
• Solid programming ability in Python, SQL, and Spark
• Hands-on experience with Apache Airflow
• Deep understanding of AWS data services
• Terraform for cloud deployments
• CI/CD workflow experience using GitHub Actions
🚀 Data Engineer – AWS | PySpark | SQL | Lambda
📍 London / Remote
💼 Contract | £300/day | Outside IR35
🌟 About the Role
We are seeking a talented and driven Data Engineer to join a forward-thinking organisation where data sits at the heart of decision-making. You will design and build scalable, high-performance data pipelines that power analytics and business insights across the company.
This is an exciting opportunity to work with modern cloud technologies, contribute to mission-critical systems, and make a real impact in a fast-paced, collaborative environment.
🔧 What You’ll Be Doing
• Designing and implementing robust ETL pipelines to move and transform data at scale
• Building cloud-native solutions on AWS to ensure reliability and performance
• Working with PySpark, Python, and SQL to process large datasets efficiently
• Orchestrating workflows using Apache Airflow
• Leveraging AWS services such as S3, RDS, Redshift, and Lambda
• Deploying infrastructure using Terraform and Infrastructure-as-Code best practices
• Automating releases through CI/CD pipelines with GitHub Actions
• Collaborating closely with engineering and analytics teams to deliver high-quality solutions
✅ Required Skills
• Strong experience with PySpark and AWS
• Proven background building and maintaining ETL pipelines
• Solid programming ability in Python, SQL, and Spark
• Hands-on experience with Apache Airflow
• Deep understanding of AWS data services
• Terraform for cloud deployments
• CI/CD workflow experience using GitHub Actions
