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# DataOps Engineer

- **Company:** Omya Business Services SLU
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Computing, Continuous Integration, Data Infrastructure, DevOps, Github, Reliability Engineering, DataOps, SAP (Applications), Cloud Platform System, Azure Data Factory, Delivery Pipeline, HybridCloud, Kubernetes, Bicep, Hashicorp, Terraform, Data Pipelines, Azure Resource Manager, Pagerduty, Databricks
- **Published:** May 20, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=b4ff5fd0330a09e3

## About the Role

Do you have experience in Terraform?, 1. Core Technical

 * Platform observability: Azure Monitor, Databricks monitoring, pipeline alerting (PagerDuty, OpsGenie)
 * Incident management : triage, escalation, RCA documentation, post-mortems
 * Infrastructure-as-Code: Terraform, Bicep, ARM templates for Azure data resources
 * Kubernetes-based orchestration: AKS, containerised data workloads
 * CI/CD pipeline operations: GitHub Actions, Azure DevOps release pipelines
 * FinOps and cloud cost governance: rightsizing, budget alerts, Databricks DBU tracking
 * Data platform reliability engineering: SLAs, SLOs, error budgets

 2. Certifications
 * Microsoft Certified: Azure Administrator Associate - Preferred
 * Databricks Certified Associate Developer - Strongly Preferred
 * HashiCorp Terraform Associate - Strongly Preferred
 * Certified Kubernetes Administrator (CKA) - Preferred
 * Microsoft Certified: DevOps Engineer Expert - Preferred

 3. Industry & Business Knowledge
 * Enterprise cloud platform operations in regulated manufacturing environments
 * Understanding of SAP integration dependencies and data pipeline criticality
 * Operational SLA frameworks for finance, supply chain, and operations reporting
 * Security baseline compliance: Azure Policy, Defender for Cloud, data platform hardening
 * Change management and release governance in enterprise settings

 4. Behavioral & Leadership
 * Operational discipline: follows process, documents decisions, avoids hero culture
 * Continuous improvement orientation - turns incidents into systemic fixes
 * Clear and structured incident communication to business and technical stakeholders
 * Resilience under pressure - calm, systematic during platform outages
 * Proactive risk identification: monitors before things break

## Description

* Monitor data pipelines and platform health
 * Manage incidents and operational issues across the data platform
 * Perform root-cause analysis and implement corrective actions
 * Support reliability, performance, and cost optimization
 * Collaborate with engineering teams to improve platform robustness

Technical Skills & Technology Landscape:

 * Cloud data platform operations
 * Pipeline monitoring, alerting, and observability
 * Incident management and operational support
 * Performance and cost optimization (FinOps mindset)


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