Data Ops Engineer - Hybrid - 12 months

Global Enterprise Partners
Amsterdam, Netherlands
3 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Amsterdam, Netherlands

Tech stack

Azure
Cloud Computing
Data Infrastructure
Github
Reliability Engineering
SAP Applications
Cloud Platform System
Azure
Delivery Pipeline
Grafana
Kubernetes
Bicep
Terraform
Data Pipelines
Azure
Pagerduty
Databricks

Job description

Global Enterprise Partners is currently looking for a Data Ops Engineer with strong experience of Azure data platforms and data pipeline operations & observability for a project in Europe (hybrid) for an initial 6-12 months. Our client is running a large-scale enterprise data platform optimisation programme and they are looking for a Data Ops Engineer to assist them with data platform operations, incident management, and reliability improvements., * Monitor data pipelines and overall platform health

  • Manage incidents and operational issues across the data platform
  • Perform root cause analysis (RCA) and implement corrective actions
  • Support platform reliability, performance, and cost optimisation
  • Collaborate with engineering teams to improve platform robustness
  • Ensure operational SLA adherence across finance, supply chain, and reporting domains
  • Maintain security and compliance baseline (Azure Policy, Defender for Cloud)

Requirements

  • 3-5+ years' experience as a Data Ops Engineer / Data Platform Engineer / SRE (data-focused)
  • Strong experience of cloud data platform operations (Azure preferred)
  • Hands-on experience with pipeline monitoring, alerting, and observability tools (Azure Monitor, Databricks monitoring, PagerDuty, OpsGenie)
  • Proven experience in incident management, triage, escalation, and RCA documentation
  • Knowledge of Infrastructure-as-Code (Terraform, Bicep, ARM templates)
  • Experience with Kubernetes-based orchestration (AKS, containerised workloads)
  • Experience managing CI/CD pipelines (GitHub Actions, Azure DevOps)
  • Strong understanding of FinOps principles and cloud cost optimisation (budget tracking, rightsizing, Databricks DBU monitoring)
  • Familiarity with data platform reliability engineering (SLAs, SLOs, error budgets)
  • Experience with enterprise environments, ideally in regulated industries
  • Understanding of SAP integration dependencies and critical data pipelines (nice to have)
  • Strong communication skills with the ability to engage both technical and business stakeholders
  • Fluent in English

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