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

Enovos Luxembourg SA

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

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IT / Informatik
Veröffentlicht seit 1 Tag
 

Enovos Luxembourg SA

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

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.

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