Data Engineer - Inside IR35 - SC Cleared
Role details
Job location
Tech stack
Job description
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
Requirements
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