AWS Data Platform Engineer (SC Cleared
AWS Data Infrastructure Engineer - Contract (Inside IR35)
Remote/UK-Based
3-6 Month Initial Engagement
Up to £600 per day (Inside IR35)
Secuirity Clearance - SC Active (Essential)
We're seeking an experienced AWS Data Infrastructure Engineer to join a high-performing data platform team on a contract basis. You'll play a key role in maintaining and optimising a large-scale AWS data ecosystem, supporting Data Engineering workflows, and ensuring secure, reliable, and automated operations.
Key Responsibilities
AWS Data Services & Operations
- Provision, manage, and maintain AWS data services including S3, Redshift, OpenSearch, Athena, Lambda, Glue, Batch.
- Monitor and maintain core services such as S3 security scanning, access monitoring, and data ingress/egress patterns.
- Manage infrastructure supporting Data Engineering workflows, including disaster recovery, performance optimisation, and coding standards.
Infrastructure & Automation
- Implement and maintain Terraform IaC for consistent, scalable infrastructure.
- Build and support Apache Airflow orchestration workflows.
- Support CI/CD and version control workflows using GitLab, including YAML pipeline configuration.
- Automate tasks using Python, SQL, and Bash.
Security & Governance
- Manage and monitor IAM, RBAC, and access controls.
- Apply AWS security best practices across data and compute workloads.
- Contribute to documentation, runbooks, and continuous process improvement.
Collaboration & Incident Support
- Work closely with Data Engineering, SRE, and Security teams.
- Troubleshoot and resolve AWS data infrastructure-related incidents.
- Contribute to Agile ceremonies and work effectively with stakeholders.
Requirements
Essential Technical Experience
- Strong hands-on experience with AWS data and compute services:
S3, Redshift, OpenSearch, Athena, Lambda, Glue, Batch, Step Functions, SQS, CloudWatch, CloudTrail, EMR. - Demonstrated expertise with Terraform for IaC.
- Experience with Airflow for DAG orchestration and monitoring.
- Strong experience with YAML-based CI/CD, ideally GitLab CI/CD or GitHub Actions.
- Proficiency with Python, SQL, and Bash for automation and troubleshooting.
- Solid understanding of:
- AWS security and IAM
- RBAC and access workflows
- AWS networking (VPCs, routing, connectivity)
- Docker and containerised development
- Disaster Recovery, backups, snapshots
Desirable
- Exposure to AWS Neptune or EKS
- Experience with Jira Service Desk
- Supporting Data Engineering teams in production environments
- Previous consulting experience
- Strong documentation skills (README, Confluence)
Soft Skills
- Excellent problem-solving and troubleshooting ability.
- Comfortable working in Agile squads.
- Strong stakeholder communication and expectation management.
- Collaborative, proactive, and delivery-focused mindset.