Observability Engineer - Data Platform (m/f/n)

We are looking for an Observability Engineer — Data Platform to help us build reliable, scalable and reusable observability capabilities for our data platform and critical data pipelines. 

This is a hands-on engineering role for someone with a strong Observability, Platform Engineering, SRE, DevOps or Cloud Engineering background. The role starts with data pipeline observability, but the ambition is broader: to contribute to observability standards that can progressively support product teams and wider IT capabilities. 

You will help Enovos move towards an OpenTelemetry-based observability approach, improve alerting reliability, and make observability easier to adopt for engineering and product teams. 

Your 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.  

Your 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.