Security Data Engineer

Role Overview We are seeking an experienced Security Data Engineer to design and deliver scalable security data platforms, pipelines and integrations. The role will enable security analytics, machine learning and Security Knowledge Graph use cases by providing reliable, governed and timely security data across enterprise environments. Key Responsibilities Build scalable batch and streaming data pipelines for security telemetry and enterprise data. Develop ETL/ELT processes, data models, APIs and integration services. Integrate platforms such as ServiceNow, Dynatrace and security tooling into enterprise data ecosystems. Build and maintain Security Knowledge Graph data pipelines and graph models. Prepare trusted datasets and features for analytics and machine learning use cases. Implement data quality, lineage, governance, access controls and observability. Optimise data architectures for performance, resilience, scalability and cost. Work closely with security analysts, data scientists, platform teams and architects. Ensure security data is reliable, timely, governed and suitable for downstream analytics. Required SkillsMandatory 8+ years of relevant professional experience. Strong hands-on data engineering experience. Strong Python and SQL skills. Experience with modern data platforms. Strong ETL/ELT experience. Experience developing and integrating APIs. Experience with event streaming. Cloud data engineering experience. Experience designing scalable data pipelines and ..... full job details .....