Security Data Engineer wide

We are looking for a highly skilled Security Data Engineer to join our global team of cybersecurity specialists, data scientists, and software engineers. You will play a critical role in designing, developing, and deploying advanced analytics solutions that protect the organisation from evolving cyber threats.

In this senior technical position, you will combine deep expertise in data engineering, applied data science, cybersecurity technologies, and innovation. You’ll build data products, create cutting‑edge analytics platforms, and develop security‑focused AI solutions that help detect threats, optimise operations, and strengthen our cyber resilience at scale.

If you thrive in fast‑paced environments, enjoy solving complex problems, and want to make a meaningful impact on cybersecurity, this role is for you.

• Ingest, curate, and provision datasets, delta tables, and reusable data assets to support cybersecurity use cases.
• Build, enhance, and maintain data pipelines and cloud‑based data ingestion infrastructure.
• Provide operational support for cloud landing zones and work spaces used by Cybersecurity teams.

• Conduct research and develop prototypes to test emerging technologies and advanced analytics techniques.
• Explore innovative capabilities that harness AI/ML and disruptive technologies to stay ahead of emerging cyber threats.

• Respond quickly to urgent cybersecurity issues, emerging threats, and time‑sensitive vulnerabilities.

• Deliver analytics engineering solutions that enable effective monitoring, threat detection, triage, and automation.
• Build data products, custom security applications, APIs, and AI‑driven services to enhance Cybersecurity operations.
• Develop models, detections, and automations to combat advanced criminal and nation‑state adversaries.

• Experience building and operating cloud‑scale data infrastructure and services (Azure preferred).
• Knowledge of big data technologies (e.g., Databricks, Spark) and real‑time analytics.
• Strong Python programming skills.
• Data pipeline automation, optimisation, and production deployment.

• Ability to rapidly prototype data‑driven solutions to real cybersecurity challenges.
• Experience in one or more areas:
  • Network, endpoint, or cloud security
  • Malware analysis
  • Cryptography
  • Vulnerability assessment
  • Intrusion detection
  • Incident response
  • Offensive security
  • Privileged access management
• Understanding of adversarial techniques, global threat landscapes, and cyber risk management.

• Experience developing ML models, detections, and security automations.
• Familiarity with key security data sources (e.g., EDR telemetry, firewall & proxy logs, vulnerability data).
• Data modelling, analytics visualisation (Databricks, Power BI), and productionisation of data science pipelines.