Description
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.
