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Data Security Engineer

Job in Sale, Manchester, Greater Manchester, M9, England, UK
Listing for: Career Choices Dewis Gyrfa Ltd
Full Time, Contract position
Listed on 2026-02-20
Job specializations:
  • IT/Tech
    Cybersecurity, Data Security, Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 620 GBP Daily GBP 620.00 DAY
Job Description & How to Apply Below
Location: Sale

Contract Type:

Contract

Hours:

Full time

Disability Confident:

No

Closing Date:

19/03/2026

About this job

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/Open Shift, 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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