Observability Engineer - Data Platform (m/f/n), Esch-sur-Alzette

Are you interested in pursuing a career in an exciting field and an innovative company? Enovos, a member of the Encevo group, is constantly on the look out for talented individuals that the group is committed to mentoring and developing in order to allow for professional and personal growth.

Working for Enovos means working for a committed and visionary employer that plays an active role in the energy transition, creating sustainable and innovative perspectives while looking after the interests of its employees and partners.

Tasks

• You design and implement observability standards for data pipelines, data products and platform services.
  
• You support the progressive adoption of OpenTelemetry for logs, metrics and traces.
  
• You will work with existing tools such as ELK / OpenSearch, Fluent Bit, Grafana and Prometheus.
  
• You define reusable patterns for instrumentation, dashboards, alerting and runbooks.
  
• You improve detection and diagnosis of data pipeline incidents, delays, failures and SLA breaches.
  
• You correlate telemetry with meaningful context such as pipeline, run ID, dataset, data product, owner and environment.
  
• You build actionable alerts and reduce noise from non-relevant or redundant alerts.
  
• You support incident response, root cause analysis and post-incident improvements.
  
• You automate observability onboarding using CI/CD, Infrastructure as Code and reusable templates where relevant.
  
• You enable self-service observability for product and engineering teams.
  
• You explore pragmatic AI-assisted use cases for anomaly detection, alert correlation or incident analysis.
  

Profile

• You have at least 5 years of experience in observability, SRE, platform engineering, DevOps, cloud engineering or a similar role.
  
• Strong hands-on experience with production systems.
  
• Good understanding of modern observability: logs, metrics, traces, alerting, dashboards and incident response.
  
• Practical experience with OpenTelemetry, or strong knowledge and motivation to lead its adoption.
  
• Experience with tools such as Grafana, Prometheus, ELK / OpenSearch, Fluent Bit or similar.
  
• Experience with cloud environments, preferably AWS.
  
• Experience with Infrastructure as Code, preferably Terraform.
  
• Ability to automate, standardise and document engineering practices.
  
• Interest in data pipelines and data products, even if your core background is not Data Engineering.
  
• A pragmatic mindset focused on production reliability, operational value and continuous improvement.
  
• Good communication skills in English. French and/or German are considered an advantage.