Consultant, Cyber Security Operations Engineer

Overview

You will join Deloitte Technology & Transformation in the Cyber Defence team to shape next-gen SOC and preventative cloud security for clients. You’ll work across SOC tooling, data platforms and anomaly detection, guiding both leadership and client-specific direction. The role blends research, analytics and engineering to defend against evolving cyber threats. Expect collaboration with cross-functional teams, hands-on delivery of analytics and threat detection capabilities, and opportunities to grow technical and leadership skills in a fast-paced environment.

Pay / Benefits

• hybrid working policy
• focus on wellbeing
• world-class development and learning
• opportunity for cross-functional collaboration
• career growth and leadership development
• inclusive culture

Responsibilities

• Research and experiment with approaches and tooling to stay at the cutting edge of Cyber Defence
• Contribute to macro security strategy and direct client-specific requirements
• Support projects delivering Security Operations solutions, platforms and tooling used by analysts and threat hunters
• Develop data-driven analytics workflows and improve threat hunting capabilities
• Refine and develop data models, leveraging big data, ML and AI
• Deliver analytics engineering requirements across cybersecurity
• Develop models, detections and automations to protect against threats
• Build data management platforms and solutions
• Foster positive relationships with Deloitte and client teams
• Participate in determination of support contract development and renewals

Key requirements

• Proficient programming skills in Python, C#, R or similar
• Experience delivering technology solutions
• Experience with at least one SOC solution (SIEM, SOAR, EDR/XDR) and data management tooling
• Understanding of data flow architectures and data models
• Knowledge of ML/AI, data ingestion, synthesis and prediction
• Cloud computing experience (GCP preferred, also AWS/Azure)
• Ability to work in fast-paced, multi-modal delivery environments
• Strong problem-solving skills

• Authority and credibility when engaging with clients
• Leadership
• Collaboration
• Python, C#, R (or similar)
• SIEM, SOAR, EDR/XDR
• Data management tooling

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