About the job

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.