Security Data Engineer

As a Security Data Engineer
, you’ll work at the intersection of data engineering, analytics, cybersecurity research, advanced analytics, and software development
.

You’ll build data products, develop AI‑driven security solutions, create custom detections, and support rapid response efforts to emerging threats.

You’ll partner with data scientists, security specialists, and engineers across the globe — shaping the future of cybersecurity innovation.

• Build and optimise cloud-scale data pipelines and curated datasets.
• Support data ingestion infrastructure and Cybersecurity cloud work spaces.

• Develop AI/ML models, detections, and automations to identify and mitigate threats.
• Build custom security applications, APIs, and data-driven services.
• Enhance monitoring, threat hunting, and response capabilities with data and advanced analytics.
• Prototype new technologies and advanced analytics approaches.
• Explore emerging AI, automation, and security capabilities to stay ahead of adversaries.

• Support urgent investigations involving new threats or vulnerabilities.

We’re looking for people with experience (or strong learning ambition) in some of the following:

• Python programming

• Knowledge of areas such as cloud security, intrusion detection, malware analysis, vulnerability assessment, or incident response
• Understanding of threat landscapes, adversary techniques, and cyber risk management

• Experience building models, analytics pipelines, or security automations
• Familiarity with security telemetry (EDR, firewall logs, proxy logs, vulnerability data)
• Data modelling and visualisation (Power BI, Databricks)

Most importantly, you’re curious, collaborative, and motivated to innovate in Cybersecurity.