Data Engineer – SC Cleared - AWS - Inside IR35 We are supporting a major government data transformation initiative to strengthen the use of evidence-based insights across frontline and operational teams. As part of a new capability being built to process and analyse sensitive interview information, the programme requires Data Engineers to design, deliver, and optimise secure backend data workflows. This work is foundational: building the ingestion, orchestration, storage, and transformation layers that power the analytics tool. Key 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 stakeholdersRequired Skills & Experience

Strong Data Engineering expertise 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 • Experience delivering as part of an Agile, multi-disciplinary teamDesirable

Knowledge of backend processing for analytics workloads (but not essential) • Familiarity with containerised deployments (Docker/ECS) • Experience working to SFIA-aligned delivery expectations in government or regulated contexts