

Sellick Partnership
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer on a 6-month contract, paying £550 per day, fully remote (UK). Active SC clearance is required. Key skills include AWS, Python, SQL, ETL/ELT, and experience in a regulated environment.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
550
-
🗓️ - Date
August 20, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Inside IR35
-
🔒 - Security
Yes
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Apache Airflow #Spark (Apache Spark) #Data Architecture #Scala #JSON (JavaScript Object Notation) #IAM (Identity and Access Management) #"ETL (Extract #Transform #Load)" #Monitoring #Python #Security #PySpark #GIT #S3 (Amazon Simple Storage Service) #Data Governance #Athena #DevOps #Data Engineering #AWS (Amazon Web Services) #Infrastructure as Code (IaC) #Cloud #Data Lake #AWS S3 (Amazon Simple Storage Service) #Data Processing #Data Pipeline #SQL (Structured Query Language) #Documentation #Lambda (AWS Lambda) #Airflow #Agile #Deployment #Terraform #Redshift #Docker
Role description
AWS Data Engineer – Government Project
Contract: 6 months
Day rate: £550 per day, Inside IR35
Location: Fully remote (UK)
Security clearance: Active SC clearance required
The role
We are seeking an experienced AWS Data Engineer to join a high-profile government project on an initial six-month contract.
You will design, build and maintain secure, scalable data pipelines and cloud-based data platforms within AWS. Working closely with architects, analysts, developers and government stakeholders, you will help deliver reliable data solutions in a highly regulated environment.
Key responsibilities
• Design, develop and maintain scalable ETL/ELT data pipelines on AWS.
• Build and optimise cloud data lakes, warehouses and data-processing solutions.
• Ingest and transform structured and unstructured data from multiple sources.
• Develop production-quality solutions using Python, PySpark and SQL.
• Implement automated data-quality checks, monitoring and alerting.
• Apply AWS security, governance and access-control best practices.
• Build infrastructure and deployment pipelines using Infrastructure as Code.
• Troubleshoot performance, reliability and data-integrity issues.
• Produce clear technical documentation and contribute to architectural decisions.
• Collaborate within an Agile, multidisciplinary delivery team.
Essential experience
• Strong commercial experience as an AWS Data Engineer.
• Hands-on experience building production data pipelines and platforms in AWS.
• Advanced Python and SQL skills.
• Experience with Spark or PySpark and large-scale data processing.
• Strong understanding of data modelling, ETL/ELT patterns and data warehousing.
• Experience implementing cloud security, monitoring and data governance.
• Experience with Infrastructure as Code and CI/CD practices.
• Previous experience delivering within government or another regulated environment.
• Strong communication and stakeholder-management skills.
• Must hold active, transferable SC clearance.
Technology stack
• AWS: S3, Glue, Lambda, Redshift, Athena, EMR, Step Functions and CloudWatch
• Data engineering: Python, PySpark, Spark and SQL
• Orchestration: Apache Airflow or Amazon MWAA
• Streaming: Amazon Kinesis
• Security and governance: IAM, KMS and Lake Formation
• Infrastructure: Terraform or AWS CloudFormation
• DevOps: Git, CI/CD and Docker
• Data formats: Parquet, JSON, CSV and Avro
Desirable experience
• AWS certification, such as AWS Certified Data Engineer or Solutions Architect.
• Experience with event-driven and real-time data architectures.
• Knowledge of data mesh, medallion or lakehouse architecture.
• Experience working to government security and data-protection standards.
Important
This role requires active SC clearance at the point of application. Candidates without current SC clearance cannot be considered.
To apply, please submit your latest CV, confirmation of your active SC clearance, availability and current notice period.
Sellick Partnership is proud to be an inclusive and accessible recruitment business and we support applications from candidates of all backgrounds and circumstances. Please note, our advertisements use years' experience, hourly rates, and salary levels purely as a guide and we assess applications based on the experience and skills evidenced on the CV. For information on how your personal details may be used by Sellick Partnership, please review our data processing notice on our website.
AWS Data Engineer – Government Project
Contract: 6 months
Day rate: £550 per day, Inside IR35
Location: Fully remote (UK)
Security clearance: Active SC clearance required
The role
We are seeking an experienced AWS Data Engineer to join a high-profile government project on an initial six-month contract.
You will design, build and maintain secure, scalable data pipelines and cloud-based data platforms within AWS. Working closely with architects, analysts, developers and government stakeholders, you will help deliver reliable data solutions in a highly regulated environment.
Key responsibilities
• Design, develop and maintain scalable ETL/ELT data pipelines on AWS.
• Build and optimise cloud data lakes, warehouses and data-processing solutions.
• Ingest and transform structured and unstructured data from multiple sources.
• Develop production-quality solutions using Python, PySpark and SQL.
• Implement automated data-quality checks, monitoring and alerting.
• Apply AWS security, governance and access-control best practices.
• Build infrastructure and deployment pipelines using Infrastructure as Code.
• Troubleshoot performance, reliability and data-integrity issues.
• Produce clear technical documentation and contribute to architectural decisions.
• Collaborate within an Agile, multidisciplinary delivery team.
Essential experience
• Strong commercial experience as an AWS Data Engineer.
• Hands-on experience building production data pipelines and platforms in AWS.
• Advanced Python and SQL skills.
• Experience with Spark or PySpark and large-scale data processing.
• Strong understanding of data modelling, ETL/ELT patterns and data warehousing.
• Experience implementing cloud security, monitoring and data governance.
• Experience with Infrastructure as Code and CI/CD practices.
• Previous experience delivering within government or another regulated environment.
• Strong communication and stakeholder-management skills.
• Must hold active, transferable SC clearance.
Technology stack
• AWS: S3, Glue, Lambda, Redshift, Athena, EMR, Step Functions and CloudWatch
• Data engineering: Python, PySpark, Spark and SQL
• Orchestration: Apache Airflow or Amazon MWAA
• Streaming: Amazon Kinesis
• Security and governance: IAM, KMS and Lake Formation
• Infrastructure: Terraform or AWS CloudFormation
• DevOps: Git, CI/CD and Docker
• Data formats: Parquet, JSON, CSV and Avro
Desirable experience
• AWS certification, such as AWS Certified Data Engineer or Solutions Architect.
• Experience with event-driven and real-time data architectures.
• Knowledge of data mesh, medallion or lakehouse architecture.
• Experience working to government security and data-protection standards.
Important
This role requires active SC clearance at the point of application. Candidates without current SC clearance cannot be considered.
To apply, please submit your latest CV, confirmation of your active SC clearance, availability and current notice period.
Sellick Partnership is proud to be an inclusive and accessible recruitment business and we support applications from candidates of all backgrounds and circumstances. Please note, our advertisements use years' experience, hourly rates, and salary levels purely as a guide and we assess applications based on the experience and skills evidenced on the CV. For information on how your personal details may be used by Sellick Partnership, please review our data processing notice on our website.






