Role Title: Security Engineer Duration: contract to run until 30/07/2025 Location: Manchester, Hybrid 3 days per week onsite Rate: up to £634.80 p/d Umbrella inside IR35 Role purpose / summary Technology platforms: Expert knowledge in at least one industry-prevalent DSPM platform such as Varonis, Cyera, BigID etc. As an experienced Security Engineer, you will play a pivotal role in shaping the future of our data security platform software. Your expertise will drive the expansion of our product roadmap and strengthen our security posture across the organisation. Key responsibilities include scanning diverse areas of the estate to identify sensitive data, recommending and implementing remediation actions, and automating escalation and remediation workflows. You will also provide actionable insights into potential threats and their mitigations. In addition, you will leverage your knowledge alongside insights gained from our Data Security scanning processes covering areas such as Data Loss Prevention (DLP), Data Privacy and Protection, DSPM/CSPM (Cloud Security Posture Management), SIEM (Security Information and Event Management), and vulnerability management. Primary Responsibilities Drive Data Security platform and scanning infrastructure enhancements in line with agreed budget and strategy. Work alongside engineers to contribute to the design and delivery of Data Security services. Support stakeholders in leveraging and adopting the latest Data Security cloud-native application architectures. Ensure all Data Security architecture and cloud infrastructure accommodates the latest security and software lifecycle patterns. Standard Technical Skills & Competencies Knowledge of product data connectors and relevant config/features for data pipeline, labels, etc. Deployment & configuration : Helm chart management, cluster integration, multi-environment setup (Dev/UAT/Prod/DR). Scanning & remediation : Structured/unstructured data scans (SMB, Confluence, Jira), policy application, remediation workflows. Containerisation : Docker and Kubernetes experience for deployment and management. Customize data discovery policies, classifiers, and connectors to meet regulatory, privacy, and security requirements (e.g., GDPR, CCPA, HIPAA). Implement and optimize data discovery workflows utilizing scripting capabilities for scalability and performance. Proficiency in SQL, scripting languages (e.g., Python or equivalent), and hands-on experience with cloud environments. Platform & Infrastructure Kubernetes/OpenShift, Helm. AWS/Azure (based on the client's preferred platform). Linux CLI and system troubleshooting. Security & Compliance Data classification, retention, deletion, privacy automation. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!