Data Security Engineer
| Posting date: | 17 February 2026 |
|---|---|
| Salary: | £600.0 to £620.0 per day |
| Additional salary information: | Up to £620 per day Inside IR35 |
| Hours: | Full time |
| Closing date: | 10 March 2026 |
| Location: | Manchester, Greater Manchester, M1 1AA |
| Remote working: | Hybrid - work remotely up to 2 days per week |
| Company: | Hays Specialist Recruitment |
| Job type: | Contract |
| Job reference: | 4771732_1771326309 |
Summary
Data Security Engineer
Manchester
£620 per day Inside IR35
3 days onsite 2 remote
Until 30th July 2026 initially
Our client is seeking a highly skilled Security Engineer to join their team on a long-term engagement. This is a fantastic opportunity to work at scale, helping shape and enhance the organisation's Data Security capabilities across a complex and evolving technology estate.
The ideal candidate will have expert knowledge of at least one DSPM platform: Varonis, Cyera, BigID, or similar.
The Role
The successful candidate will be instrumental in strengthening the organisation's data security posture. This involves scanning diverse environments to identify sensitive data, implementing remediation measures, and automating escalation and remediation workflows. The role also provides the opportunity to influence platform strategy, drive cloud-native adoption, and deliver meaningful improvements across multiple security domains.
What You'll Be Working On
Enhancing data security platform and scanning infrastructure
Designing and delivering Data Security services with engineering teams
Supporting the adoption of modern cloud-native architectures
Ensuring Data Security and cloud infrastructure follow latest security patterns
Identifying sensitive data and implementing automated remediation pathways
What We're Looking For
Expert knowledge of at least one DSPM platform: Varonis, Cyera, BigID, or similar
Strong hands-on experience across DLP, Data Privacy, DSPM/CSPM, SIEM, and vulnerability management
Proficiency with Helm, Kubernetes/OpenShift, Docker, and multi‑environment deployments
Experience scanning structured/unstructured data sources (SMB, Confluence, Jira)
Strong scripting (Python or similar) and SQL skills
Solid cloud experience with AWS and/or Azure
Good understanding of data classification, retention, deletion, and privacy automation
Strong Linux CLI and troubleshooting capability
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