AWS Data Engineer

Tenth Revolution Group; Leeds; On-site; GBP 86,000 - 105,000; Full time

Job summary

Tenth Revolution Group is seeking a Data Engineer to join its growing engineering capability in Leeds. The role focuses on large-scale data and cloud transformation programmes, delivering modern data platforms, cloud-native solutions, and analytics capabilities.

You will work with architects, consultants and delivery leads to develop and enhance data solutions across cloud platforms, gaining exposure to AI-driven initiatives and best-practice engineering while advancing your technical and

Qualifications

• Strong experience in data engineering with Python.
• Experience with AWS ETL services and AWS S3 data management.
• Experience with API integrations and database connectivity.
• Familiarity with GitLab or similar DevOps platforms.
• Experience using Terraform or similar IaC technologies.
• Experience supporting production systems and live service environments.
• Excellent communication and collaboration skills.
• Ability to work independently while contributing within a team.

Responsibilities

• Deliver defined work packages and tasks within timelines and quality standards.
• Develop, maintain, schedule and troubleshoot batch and micro-batch data pipelines.
• Support and enhance cloud-based data platforms and analytics solutions.
• Manage API integrations and database connectivity.
• Collaborate with senior engineers and project teams to solve issues.
• Contribute to team planning and continuous improvement initiatives.
• Share knowledge within an agile engineering setting.

Skills

Python

AWS ETL services

AWS S3 management

API integrations

GitLab/DevOps

Terraform/IaC

Production support

Troubleshooting

Communication

Independent worker

Tools

GitLab

Terraform

Job description

Data Engineer

Up to £95,000
Security Clearance: Active SC Clearance Required

About the Role

Join a growing engineering capability within a people-focused consultancy environment. This is an exciting opportunity to work on large-scale data and cloud transformation programmes for enterprise clients, helping deliver modern data platforms, cloud-native solutions, and innovative analytics capabilities.

Working as part of a collaborative engineering team, you will partner with architects, consultants, support engineers and delivery leads to develop, maintain and enhance data solutions across cloud platforms. You'll gain exposure to modern technologies, AI-driven initiatives, cloud infrastructure and best-practice engineering approaches while continuing to develop your technical and professional skills.

Key Responsibilities

• Deliver defined work packages and technical tasks within agreed timelines and quality standards.
• Develop, maintain, schedule and troubleshoot batch and micro-batch data pipelines.
• Support and enhance cloud-based data platforms and analytics solutions.
• Manage API integrations and database connectivity.
• Collaborate closely with senior engineers and wider project teams to solve
• Contribute to team planning and continuous improvement initiatives.
• Share knowledge and collaborate with colleagues in an agile engineering setting.

Essential Skills & Experience

• Strong experience in data engineering, including Python.
• Experience working with AWS ETL services.
• Experience querying and managing data held within AWS S3
• Experience managing API integrations and database connectivity.
• Familiarity with GitLab or similar source control and DevOps platforms.
• Experience using Terraform or equivalent Infrastructure-as-Code technologies.
• Experience supporting production systems and live service environments.
• Strong problem-solving and troubleshooting abilities.
• Excellent communication and collaboration skills.
• Ability to work independently while contributing effectively within a team environment.
• Active SC Clearance is required.

What's on Offer

• Competitive salary and comprehensive benefits package.
• Structured learning and development opportunities.
• Access to coaching and mentoring from experienced technology professionals.
• Long-term client engagements delivering meaningful impact.
• Clear career progression pathways within a growing technology practice.
• Opportunity to work with modern cloud, data and AI technologies on complex enterprise programmes.