The IT department of Belgium’s FPS Home Affairs is looking for a highly experienced engineer to contribute to a high-level and sensitive data intelligence project. The ideal candidate combines deep technical mastery of both Linux, Windows and Docker system environments with advanced expertise in end-to-end Business Intelligence reporting and the Elastic (ELK) stack. This person must demonstrate exceptional precision, discretion, and analytical creativity in handling mission-critical data pipelines and secure infrastructures.

Expert-level proficiency in both Linux (Debian/Ubuntu, RHEL-based) and Windows Server ecosystems is required, including Docker VM’s set-up and system-level troubleshooting, performance optimization, and cross-platform integration.

The mission focuses on designing and maintaining robust data pipelines, monitoring frameworks and analytics capabilities with strong requirements in terms of security, traceability and compliance.

Mission Objectives

• Strengthen data observability and monitoring capabilities
• Design and optimize end-to-end ELK-based architectures
• Improve data governance, auditability and reporting reliability
• Support advanced analytics and anomaly detection use cases

Key Responsibilities

• Design, implement and maintain ELK pipelines (Logstash, Elasticsearch, Kibana)
• Develop advanced dashboards and reporting solutions aligned with business KPIs
• Implement data transformation, enrichment and quality controls
• Configure alerting, monitoring and anomaly detection mechanisms
• Integrate ELK stack with BI tools (Power BI, Grafana, Tableau, etc.)
• Ensure data security and access control (encryption, secrets management)
• Optimize performance, scalability and reliability of data platforms
• Produce technical documentation and audit-compliant deliverables

Requirements

Technical expertise:

• Deep expertise in

• ELK Stack:

  • Logstash (advanced pipeline design, scripting, parsing)
  • Elasticsearch (cluster architecture, indexing, aggregations, tuning)
  • Kibana (dashboards, visualization, alerting)

• Strong experience in

• Business Intelligence and data reporting architectures
• Advanced knowledge of Linux, Windows Server and Docker environments
• Solid understanding of data security principles (encryption, access control, secrets management)
• Scripting skills (Python, Ruby or Bash)
• Experience with data modelling, analytics and pattern detection

• Integration experience with external systems and APIs

• Minimum 10 years of experience in:

• Data engineering
• Observability / monitoring systems

• Business Intelligence platforms

• Proven experience in building scalable, secure and high-availability data solutions

• Experience in regulated or high-sensitivity environments is a strong asset

Soft skills:

• Strong analytical and problem-solving mindset
• High level of precision and confidentiality
• Ability to work autonomously in complex environments
• Results-driven and quality-oriented

Mission duration: 60 days initially, up to 100 days. Part-time position, schedule to be fixed with the PM.