Senior Threat Intelligence Data Engineer & Taxonomy Lead

WLG

Henegouwen

Sur place

EUR 90 000 - 120 000

Plein temps

Il y a 4 jours
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Résumé du poste

WLG in Mons, Belgium is seeking a senior data engineer to design and maintain threat-intelligence pipelines. You will implement data models and schemas, automate workflows with Python, and ensure high data quality and provenance for the threat-sharing platform.

You will lead team members during exercises, document taxonomies, and contribute to standards while interacting with internal communities to optimize curation and dissemination options.

Qualifications

  • At least ten years of practical experience across the areas listed.
  • Experience designing, building and managing data pipelines.
  • Experience leading data-focused operations and projects.

Responsabilités

  • Designing, building and maintaining pipelines that ingest threat information from diverse sources.
  • Developing Python scripts to automate the platform and integrations.
  • Defining and implementing dissemination rules for threat information.
  • Normalising heterogeneous feed structures into a single schema.
  • Ensuring data quality through deduplication, provenance, and lifecycle management.
  • Contributing to and integrating threat information standards.
  • Documenting taxonomies and curation practices.
  • Leading platform operators during exercises and training delivery.

Connaissances

Data pipelines
Python scripting
Security principles
Team collaboration

Formation

Bachelor's degree in a related discipline
Three years related experience or ten years progressive expertise

Outils

Splunk

Description du poste

WLG in Mons, Belgium is seeking a senior data engineer to design and maintain threat-intelligence pipelines. You will implement data models and schemas, automate workflows with Python, and ensure high data quality and provenance for the threat-sharing platform.

You will lead team members during exercises, document taxonomies, and contribute to standards while interacting with internal communities to optimize curation and dissemination options.

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