Threat Information Data Engineer (Normalisation, Quality and Provenance) for NATO with security clearance

WLG; Henegouwen; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

WLG in Mons, Belgium, is seeking an experienced data engineer to shape the threat-intelligence sharing platform. You will build and maintain ingestion pipelines, write Python scripts, and define rules for dissemination while ensuring data quality and consistency.

You will normalise diverse feeds, contribute to threat intel standards, and document taxonomy and best-practice guidance for data entry. Strong collaboration and English proficiency are expected.

Qualifications

• Bachelor's degree in a related discipline with three years of related experience — or, exceptionally, ten years of progressive expertise in this kind of work.
• Proficient in designing, building and managing data pipelines and schemas for threat intelligence platforms.
• Experience with Python scripting and integration with security monitoring systems.
• Knowledge of threat intelligence standards and data formats is a plus.

Responsabilités

• Designing, building and maintaining the pipelines that ingest threat information from a wide range of sources.
• Developing and maintaining Python scripts that automate the platform and integrate it with security monitoring and detection systems.
• Defining, documenting and implementing the rules by which information is disseminated.
• Normalising heterogeneous feed structures into one consistent schema and enforcing data quality (deduplication, provenance, lifecycle).
• Contributing to and integrating existing cyber threat information standards and documentation on taxonomies and dissemination options.

Connaissances

Python scripting

Data pipelines

Data engineering tooling

Security principles

Team collaboration

Formation

Bachelor's degree or 10 years of equivalent experience

Outils

Splunk

Description du poste

Every threat feed is a different shape. Somebody has to make them one thing, and make it trustworthy.

You would engineer the data side of a defence alliance's threat-intelligence sharing platform in Mons, Belgium — the pipelines feeding it, the schema underneath it, and the quality rules that decide what is worth keeping.

What You Would Be Doing

• Designing, building and maintaining the pipelines that ingest threat information from a wide range of sources
• Developing and maintaining Python scripts that automate the platform and integrate it with the systems around it, including security monitoring and detection
• Defining, documenting and implementing the rules by which information is disseminated
• Supporting the work around threat-information process management
• Normalising heterogeneous feed structures into one consistent schema
• Enforcing data quality — deduplication, confidence scoring, indicator lifecycle, provenance, and tracking and filtering the low-quality sources
• Contributing to and integrating existing cyber threat information standards
• Creating and maintaining the documentation on the taxonomies and galaxies people actually use
• Writing and keeping current the best-practice guidance for data entry
• Being the expert the internal communities come to on curation and dissemination options — what each one buys them and what it costs
• Supporting the user community — regular feedback normally, daily feedback during exercises
• Leading a team of platform operators during exercises, covering information flow, quality control and user management
• Planning, preparing and delivering online training, and helping build the individual training packages that prove the objectives were met

What you would bring

• At least ten years of practical experience across the areas below
• Designing, building and managing data pipelines — transformation, data models, schemas, metadata and workload management
• Supporting, leading or managing data-focused operations and projects, using data engineering tooling behind data science, analytics and visualisation
• Python scripting
• A good grasp of security principles, practice, concepts and technology
• The ability to work alone and in a team
• Excellent organisation, communication and writing
• Professional English
• A bachelor's degree in a related discipline with three years of related experience — or, exceptionally, ten years of progressive expertise in this kind of work

Nice to have

• The platform's own core format, and STIX
• Work as a cyber threat intelligence analyst, or as an incident responder
• Splunk
• Handling cyber threat information at scale
• Work with open-source communities, and multinational cyber exercises
• Administering a threat-sharing platform, or writing code for one in Python or PHP

Why this one is worth a look

Data engineering where the data is adversarial and the quality rules genuinely matter — not another warehouse.