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# Managing Engineer, Data Security Engineering

- **Company:** R35165at Allstate
- **Location:** Cookstown, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Automation of Tests, Software as a Service, Cloud Computing, Code Review, Data Discovery, Data Governance, Data Integration, Data Security, Data Intelligence, JSON, Python (Programming Language), Windows PowerShell, Security Information and Event Management, YAML, Enterprise Data Management, Event Driven Architecture, Enterprise Integration, Restful APIs, Terraform, Security Orchestration, Automation & Response
- **Published:** September 21, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/managing-engineer-data-security-engineering/47721243

## About the Role

discovery and classification, and access controls.* Develop and advance policy-as-code workflows, reusable control patterns, detection logic, platform integrations, and automated testing and deployment.* Automate control lifecycle activities, including validation, configuration drift detection, reporting, alert enrichment, and operational health checks.* Own the reliability, effectiveness, adoption, and continuous improvement of the team's products and controls.* Translate complex data security requirements into scalable technical solutions and measurable outcomes.**Essential Skills:*** All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy.* A minimum of 4 years of professional software, data, or security engineering experience, including ownership of production systems and technical products.* A minimum of 2 years of experience leading engineers while remaining actively engaged in
technical design, code reviews, and complex engineering work.* Deep technical knowledge of data protection, including DLP, data discovery and classification, information protection, data access controls, and data governance.* Comprehensive understanding of cloud, SaaS, CASB, and enterprise data protection architectures.* Strong scripting and automation proficiency using Python, PowerShell, REST APIs, Terraform, YAML, JSON, or comparable technologies.* Proven ability to build version-controlled security solutions using policy as code, automated delivery pipelines, APIs, and reusable components.* Demonstrated success transforming manual, console-based administration into scalable, automated operating models.**Desirable Skills:*** Familiarity with Microsoft Purview and other enterprise platforms supporting DLP, data discovery and classification, information protection, or data access governance.* Knowledge of integrating data security capabilities with identity, cloud, SIEM, SOAR, workflow,
and enterprise data platforms through APIs and event-driven architectures.* Proven ability to influence technical decisions and drive adoption of secure patterns and engineering standards across product areas.* Demonstrated success mentoring senior engineers and developing emerging technical leaders.* Understanding of security and operational measures, such as control adoption, detection quality, reliability, and risk reduction, used to evaluate engineering outcomes and guide priorities.**Job Posting End Date: Wednesday 23rd September 2026 (11:59pm)** #J-18808-Ljbffr

## Description

capabilities that enable secure-by-default behaviors across the enterprise. The Managing Engineer, Data Security Engineering leads a team responsible for designing, building, and operating capabilities across DLP Policy, Data Intelligence, and Data Access. This role combines people leadership, technical direction, and delivery ownership, ensuring the team delivers automated, scalable, and measurable solutions that protect sensitive data while enabling appropriate business use.**Key responsibilities:*** Build and lead a high-performing team accountable for engineering data security products and controls.* Set technical direction and drive execution across architecture, design, implementation, deployment, and production support.* Provide hands-on technical leadership through code and, solution design, key technical decisions, and critical implementation work.* Guide the engineering of capabilities across DLP Policy, Data Intelligence, or Data Access, including policy automation, data


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