Job Summary
Job Description - Security Data Engineer Function: CSO Role: Security Data Engineer Hiring Managers: Louise Furniss / Julie Wilson Grade: E/F Location: UK / Offshore Open Positions: 2 Duration: 10 Months ________________________________________ Job Summary • Join the Cyber Security organization to design, build, and optimize security-focused data platforms and engineering solutions. • Support enterprise security initiatives through scalable data pipelines, analytics, and machine learning-enabled security capabilities. • Develop and maintain Security Knowledge Graphs to improve threat visibility, risk analysis, and security intelligence. • Integrate security and observability platforms such as ServiceNow and Dynatrace to enable centralized data-driven insights. • Collaborate with security analysts, data scientists, architects, and engineering teams to deliver high-value cyber security solutions. • Leverage modern data engineering practices to process, transform, and analyze large volumes of security data. • Contribute to the evolution of security analytics, automation, and intelligence-led security operations.
Key Responsibilities
Design and implement scalable security data pipelines for ingesting, transforming, and processing large datasets. • Develop and maintain integrations between security platforms, ServiceNow, Dynatrace, and enterprise data ecosystems. • Build and enhance Security Knowledge Graph solutions to improve threat detection and contextual security analysis. • Support machine learning models and data science initiatives by preparing and managing security datasets. • Ensure data quality, governance, reliability, and performance across security data platforms. • Collaborate with cyber security teams to develop analytics, dashboards, reporting capabilities, and automation workflows. • Optimize data architectures and engineering processes to support current and future security use cases.
Skill Requirements
Strong experience in Data Engineering and building large-scale data integration and processing solutions. • Hands-on experience with Machine Learning engineering concepts and supporting ML data pipelines. • Knowledge of Security Knowledge Graphs, graph databases, and relationship-based analytics techniques. • Experience integrating enterprise platforms such as ServiceNow, Dynatrace, or similar monitoring and ITSM solutions. • Proficiency in Python, SQL, data modeling, ETL/ELT processes, and cloud-based data platforms. • Understanding of cyber security concepts including threat intelligence, vulnerability management, and security operations. • Strong analytical, troubleshooting, communication, and stakeholder management capabilities. ________________________________________ Technical Certification Need to Have and Good to Have Need to Have • Strong practical experience in Data Engineering, Security Analytics, or Security Data Platform development. • Proficiency in Python, SQL, and modern data engineering frameworks. • Experience working with enterprise data platforms, integration technologies, and API-based architectures. • Knowledge of security data management, governance, and large-scale data processing concepts. • Experience supporting machine learning, analytics, or cyber security data initiatives. Good to Have • Google Professional Data Engineer Certification. • Databricks Certified Data Engineer Associate or Professional. • Microsoft Azure Data Engineer Associate (DP-203). • AWS Certified Data Analytics Specialty or AWS Certified Machine Learning Specialty. • ServiceNow Certified System Administrator or ServiceNow Implementation Specialist certifications. • Dynatrace Associate or Dynatrace Professional Certification. • Neo4j Certified Professional or certifications related to graph databases and Knowledge Graph technologies.
Other Requirements
This role combines expertise in Data Engineering, Machine Learning Engineering, Security Analytics, and Knowledge Graph technologies. • Experience building integrations across security, monitoring, observability, and IT service management platforms is highly desirable. • Candidates with exposure to cyber security data lakes, threat intelligence platforms, and graph-based security analytics will be preferred. • Strong understanding of cloud-native data engineering and enterprise-scale security data ecosystems is advantageous. • The role offers an opportunity to contribute to advanced cyber security analytics, security automation, and next-generation security intelligence capabilities.