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.