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Data Security Specialist
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Data Security Engineer – Cloud, DLP & Automation
Location: London, United Kingdom
Industry: Technology / Online Delivery & Digital Platforms
Employment Type: Full-time
Work Arrangement: London-based
About the Role
A leading global digital platform is seeking a Data Security Engineer to strengthen the protection of sensitive structured and unstructured data across cloud-native and enterprise environments.
This role sits at the intersection of data security engineering, automation, cloud security, and privacy. You will translate data security architecture and governance requirements into scalable technical controls, while building automated guardrails that reduce risk without slowing down engineering teams.
The role has a strong focus on DLP, encryption, data discovery, Policy-as-Code, CI/CD security, Infrastructure-as-Code, and AI-related data security.
Key Responsibilities
- Deploy and manage enterprise Data Loss Prevention (DLP) and encryption solutions across network, cloud, endpoint, and AI environments.
- Protect sensitive data at rest, in transit, and in use.
- Manage automated data discovery and classification pipelines, including controls for AI environments such as training datasets, model inputs, and inference logs.
- Partner with Security Architecture teams to embed data protection, cryptography, and Infrastructure-as-Code (IaC) security baselines into CI/CD workflows.
- Translate data security and compliance policies into executable Policy-as-Code, including technologies such as OPA.
- Build automated security guardrails and remediation scripts across cloud environments.
- Develop API integrations between security scanning and ticketing platforms.
- Use intelligent automation and AI-driven capabilities to triage, prioritize, and tune security alerts while reducing false positives.
- Provide engineering teams with automated feedback, technical documentation, and developer-friendly security tools.
- Help prevent data exposure and security issues earlier in the software development lifecycle.
- Collaborate closely with DevOps, Software Engineering, IT, Security Architecture, and Privacy teams.
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Requirements
- Proven experience implementing and managing data security controls within cloud-native or enterprise environments.
- Experience with Data Security Posture Management (DSPM) platforms such as Wiz, Enterprise DLP, cryptography, and data classification.
- Strong automation and scripting skills using Python and Bash/Shell.
- Experience translating security requirements and governance policies into automated remediation workflows and CI/CD security gates.
- Strong understanding of cloud security, Infrastructure-as-Code, and security automation.
- Practical understanding of AI/ML data security risks, including OWASP Top 10 for LLMs, prompt injection, and training-data exposure.
- Experience using AI or intelligent automation to support security activities such as alert triage and data classification.
- Strong understanding of data flows and the ability to turn complex security findings into clear technical guidance.
- Knowledge of data privacy regulations, particularly GDPR.
- Strong collaboration skills, with the ability to work effectively across engineering, infrastructure, security, and privacy functions.
- A proactive, solutions-oriented approach to security, with a focus on enabling engineering teams rather than creating unnecessary friction.
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Key Technologies & Areas
Data Security | DLP | DSPM | Encryption | Cryptography | Data Classification | Cloud Security | Python | Bash | CI/CD | Infrastructure-as-Code | Policy-as-Code | OPA | API Automation | AI/ML Security | LLM Security | GDPR
What the Role Offers
- Opportunity to work on data security at significant scale across cloud and enterprise environments.
- Exposure to modern AI security, automation, and cloud-native security engineering.
- Cross-functional collaboration with engineering, IT, security architecture, and privacy teams.
- An international, fast-paced technology environment.
- Focus on building practical security controls that enable innovation while reducing risk.
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