ELK & Business Intelligence Consultant

Function

We are currently looking for a highly experienced Senior Data & Observability Engineer to join our client on a strategic and highly sensitive data intelligence initiative. This role is ideal for a technical expert who combines deep infrastructure knowledge with advanced Business Intelligence and observability expertise.

You will contribute to the design, optimization, and governance of secure, large-scale data and monitoring platforms in a complex enterprise environment. The position requires a strong focus on reliability, scalability, security, and auditability, as well as the ability to operate autonomously in mission-critical environments where precision and confidentiality are essential.

Key Responsibilities

Data Engineering & Observability

• Design, implement, and maintain advanced ELK-based architectures and data pipelines
• Build and optimize Logstash pipelines for data parsing, transformation, enrichment, and quality control
• Manage and tune Elasticsearch clusters, indexing strategies, aggregations, and platform scalability
• Develop advanced Kibana dashboards, visualizations, alerting, and monitoring solutions
• Support anomaly detection, observability, and advanced analytics initiatives

Business Intelligence & Reporting

• Develop end-to-end reporting and analytics solutions aligned with operational and business KPIs
• Integrate observability platforms with Business Intelligence tools such as Power BI, Grafana, and Tableau
• Improve reporting reliability, traceability, and overall data governance capabilities
• Support data modelling, analytics, and pattern detection initiatives across multiple environments

Infrastructure, Security & Reliability

• Manage and optimize Linux, Windows Server, and Docker-based environments
• Ensure secure data handling through encryption, access control, and secrets management practices
• Improve platform performance, resilience, and high-availability capabilities
• Produce technical documentation and audit-ready deliverables in line with compliance requirements
• Support integrations with external systems, APIs, and enterprise platforms

The Ideal Candidate

• Minimum of 10 years of experience within data engineering, observability, monitoring, or Business Intelligence environments
• Deep expertise with the ELK Stack:
  • Logstash (advanced pipelines, scripting, parsing)
  • Elasticsearch (cluster architecture, tuning, indexing, aggregations)
  • Kibana (dashboards, visualization, monitoring, alerting)
• Strong experience with Business Intelligence and reporting architectures
• Advanced expertise in Linux (Debian/Ubuntu and RHEL-based systems), Windows Server, and Docker environments
• Strong scripting capabilities in Python, Bash, or Ruby
• Solid understanding of data security principles including encryption, access management, and secure infrastructure practices
• Experience building scalable, secure, and highly available enterprise data platforms
• Previous experience within regulated or high-sensitivity environments is considered a strong asset

Soft Skills

• Strong analytical and problem-solving abilities
• High level of discretion, precision, and accountability
• Autonomous and proactive mindset
• Results-driven with a strong focus on quality and reliability