About the mission
We are looking for a Senior ELK/Business Intelligence Consultant to contribute to a sensitive data intelligence project. The ideal candidate will have extensive experience with the ELK stack and Business Intelligence reporting, along with strong technical skills in Linux, Windows, and Docker environments.
Read the full description
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
Additional Info
Mission duration: 60 days initially, up to 100 days. Part-time position, schedule to be fixed with the PM.What you'll do
- 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
What we're looking for
- 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, and 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
- Strong analytical and problem-solving mindset
- High level of precision and confidentiality
- Ability to work autonomously in complex environments
- Results-driven and quality-oriented
Skills
- ELK Stack
- Linux
- Windows Server
- Docker
- Python
- Ruby