Salary: £54,000 - 60,000 per year Requirements: Strong Data Engineering experience within AWS environments Hands-on experience with core AWS data services: S3, Glue, Lambda, Athena, Kinesis, Step Functions (or similar) Proficiency in Python and SQL for data transformations and automation Experience with IaC and CI/CD tooling (Terraform, GitLab, etc.) Comfortable working with sensitive datasets and secure-by-design approaches Strong communication skills and a proactive, consulting mindset Responsibilities: Design, develop and maintain scalable cloud-native data pipelines Implement ETL/ELT processes to manage structured and unstructured data securely and efficiently Ensure data integrity, traceability and compliance across all pipeline stages Work with cross-functional teams to define technical requirements and design decisions Apply DevOps best practices, monitoring, and automation to improve reliability Support continuous improvement of the platform’s performance and operational maturity Communicate progress, risks and trade-offs clearly to wider delivery stakeholders Technologies: AWS Lambda Backend CI/CD Cloud DevOps ETL GitLab Support Python SQL Terraform More: We are supporting a major government data transformation initiative focused on strengthening the use of evidence-based insights across frontline and operational teams. Our programme requires a SFIA 3 (Junior - Mid Level) Data Engineer to design, deliver, and optimise secure backend data workflows. This is a foundational role with the opportunity to join a long-term programme that’s just kicking off, where you can add value and grow within our team. The position is hybrid, requiring attendance in London once a week, with a start date of January 5th. last updated 4 week of 2026