Job Main Responsibilities

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)

Qualifications And Skills

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

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

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

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

What do we offer?

Hybrid Work Model: Flexibility to work from home and in the office, according to the policy, helping you achieve a healthy work-life balance.

Ticket Restaurant: Enjoy a daily meal allowance to support your well-being.

Versátil retribution: Kindergarten & Transport

30 Labor Days of Holidays: Ample time off to relax and recharge.

Language Lessons: Access to language lessons to help you grow both personally and professionally.

Medical Insurance: 60% company-subsidized medical insurance for employees, with the option to extend coverage to family members at a highly competitive rate.

Open and Modern Office Environment: Work in a collaborative, innovative, and comfortable space designed for your success.

📌 DataOps Engineer (Madrid)
🏢 Omya
📍 Madrid