Security Data Engineer

3 days ago

Makati City, National Capital Region, Philippines Avaloq AG Full time

We are seeking a Security Data Engineer to drive the automation of our data pipelines, dashboards, and reporting infrastructure across a diverse set of security data sources. In this role, you will play a critical part in reducing manual effort, increasing data reliability, and delivering timely, actionable insights to security teams and stakeholders.

Your Key Tasks:

Automation & Engineering

  • Automate end-to-end data extraction, transformation, and loading (ETL) processes from a variety of sources including databases, APIs, and third-party tools (e.g., Splunk, Tenable).
  • Build and maintain scalable, fault-tolerant pipelines to collect, normalize, and enrich security data.
  • Develop event-driven and scheduled data workflows to ensure timely delivery of critical security metrics and insights.
  • Build automated classifiers, scoring systems, or recommendation engines that support threat detection, vulnerability management, or incident prioritization.
  • Use large language models (LLMs) or embeddings where appropriate to enrich and interpret semi-structured log data.

Reporting & Dashboards

  • Automate the generation and deployment of interactive dashboards and reports using tools like Apache Superset, Grafana, or similar.
  • Ensure reports are updated in near real-time and designed to scale with growing data volumes.

Analysis & Insights

  • Conduct exploratory data analysis to detect patterns, anomalies, and trends in security data.
  • Translate complex datasets into automated alerts, metrics, and recommendations that support incident response and threat detection.

Stakeholder Enablement

  • Collaborate with engineers, security teams, and internal stakeholders to identify manual reporting tasks that can be automated or streamlined.
  • Customize automation solutions to align with stakeholder needs and business goals.

Documentation & Governance

  • Maintain clear, version-controlled documentation of data sources, ETL pipelines, and automation logic.
  • Ensure automation processes meet internal security, compliance, and data governance standards.
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