Data Observability Engineer

ppData Infrastructure | Data Observability | Data Reliability | Data Quality | Data Engineering /p pOur client, a growing bData Infrastructure /b company based in Zurich, is looking for a bData Observability Engineer /b to build the systems that detect broken pipelines, data-quality degradation, lineage issues, and production failures before they affect downstream teams and products. /p pYou'll work at the intersection of bData Engineering, Observability, and Reliability Engineering /b, creating visibility across the complete lifecycle of production data. /p h3What You’ll Work On /h3 ul liBuild observability systems for production data pipelines /li liDevelop automated data-quality checks and monitoring in Python and SQL /li liMonitor Airflow pipelines for failures, delays, and abnormal behaviour Build observability across Snowflake data workloads /li liIntegrate quality and reliability checks into dbt workflows /li liDevelop telemetry and tracing using OpenTelemetry /li liDetect schema changes, freshness issues, volume anomalies, and data-quality degradation /li liImprove visibility into data lineage and upstream/downstream dependencies /li liDefine SLIs and reliability standards for critical data products /li liBuild alerting and automated diagnostics for production data incidents /li liPerform root-cause analysis across complex data pipelines /li liPartner with Data Engineers to make reliability and observability part of platform design /li /ul h3Core Skills /h3 ul li3+ years in Data Engineering, Data Platform Engineering, Data Reliability, or similar roles /li liOpenTelemetry or comparable observability technologies /li liData-quality monitoring /li liStrong understanding of modern production data pipelines /li /ul h3Nice to Have /h3 ul liMonte Carlo / Bigeye or similar data-observability tooling /li liIncident management and postmortems /li /ul /p #J-18808-Ljbffr