Sr Cyber Analytics Engineer - Contract

Enterprise Cyber Analytics Engineer Role Overview An opportunity to join a large Cybersecurity Analytics function within a global banking organisation, supporting Cyber Security teams through advanced data and analytics capabilities. This engagement is a customer-facing engineer, working directly with Cyber stakeholders to understand security challenges, identify opportunities for analytics, and deliver solutions using large-scale data platforms. Key Responsibilities • Partner with Cyber Security teams to understand requirements and identify analytics opportunities. • Develop analytics solutions, notebooks, and data-driven use cases using Python, PySpark, and enterprise big-data technologies. • Work with large-scale cybersecurity datasets sourced from areas including identity and access management, privileged access management, security telemetry, network monitoring, and vulnerability reporting. • Deliver analytics capabilities that support monitoring, risk management, and wider Cyber Security objectives. • Translate stakeholder requirements into scalable analytics solutions and actionable outcomes. • Support delivery of major initiatives across the Cyber Security function. • Contribute to machine learning use cases where appropriate, leveraging the organisation's extensive cybersecurity data estate. Key Requirements • Strong Python development experience. • Strong PySpark and/or Apache Spark experience is essential. Experience with Databricks is highly desirable • Experience operating within large, regulated enterprise environments building analytics solutions using complex datasets. • Ability to engage with stakeholders and translate business requirements into technical solutions. • SOC, Identity & Access Management (IAM) or Privileged Access Management (PAM) analytics experience • Machine Learning experience is desirable • Financial Services or highly regulated industry experience.