Security Detection Engineer
McCabe & Barton London, United KingdomSecurity Detection Engineer
McCabe & Barton London, United Kingdom
E
Security Detection Engineer
London (Hybrid)
£600-£750 per day (Inside IR35)
Initial 6-Month Contract
We are looking for an experienced SecurityDetection Engineer to take ownership of detection engineering, and threat hunting across Azure and GCP environments.
This is a hands-on opportunity for a security professional with strong SIEM, cloud security, and automation expertise who can operate independently in a fast-paced environment.
Key Responsibilities
Detection Engineering & SIEM Uplift
- Design and implement detection rules in Datadog (or Sentinel/SIEM equivalent)
- Support UEBA (User & Entity Behaviour Analytics) to catch compromise early
- Use Claude Code to develop detection logic and correlation rules
- Build AI-powered anomaly detection (user behaviour, access patterns)
- Automate alert triage and prioritization
Platform Integration & Automation
- Integrate Datadog with Azure monitoring and GCP Cloud Logging
- Use Terraform to automate detection deployment and configuration
- Build CI/CD for detection rules (version control, testing, rollback)
- Develop custom metrics and alerting for deal-sensitive operations
Required Experience & Skills
Core Detection & Threat Analysis
- Experienced building detection rules (SIEM, EDR, or cloud-native tooling)
- Deep understanding of attack patterns (MITRE ATT&CK framework)
- SOC operations, threat analysis, or incident response
Datadog & Cloud Monitoring
- Hands-on Datadog OR equivalent Sentinel/SIEM experience
- Azure Monitor and Log Analytics familiarity
- GCP Cloud Logging and Cloud Security Command Center desirable
Technical Engineering
- SQL proficiency (query security events, build custom reports)
- Python or PowerShell (detection automation, data enrichment)
- Terraform (automate detection deployment) essential
- YAML (configuration management for detections)
Cloud & Data Platforms
- Azure security architecture (Entra ID, networking, identity)
- GCP security basics desirable
- Snowflake security fundamentals
- EDR platform experience (CrowdStrike, Microsoft Defender, or similar)
Security & Compliance
- Knowledge of financial services threats (insider threats, data theft, credential abuse)
- Understanding of regulatory requirements (DORA, FCA, SOC2)
- Familiarity with incident response frameworks
- Comfortable in 24/7 on-call environment during integration crisis period
Ideal candidate:
- Seasoned Security engineer who can operate independently
- Experience of hands-on detection/threat analysis
- Strong technical foundations (SQL, Python, cloud platforms)
- Integration or M&A security experience
- Forward-thinking mindset (AI-assisted security, emerging threats)
- Independent operator (self-directed in ambiguous environment)
- Datadog OR Sentinel experience (or very strong hands-on SIEM background)
- Open-source and modern tech stack comfortable
- Snowflake and/or data platform security exposure valuable
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