5. FinOps Engineer Summary Brings financial accountability to cloud usage by tracking spend, driving optimization, and enforcing governance, working across engineering, finance, and leadership.
Responsibilities
- Monitor, analyze, and forecast Azure spend using Cost Management, Power BI, and custom dashboards
- Implement tagging standards and cost allocation (showback/chargeback) by team, product, and environment
- Identify and drive optimization: rightsizing, idle resource cleanup, reserved instances, savings plans, spot usage, and storage tiering
- Track and optimize Databricks spend: DBU consumption by workspace, job, and team using billing system tables; job vs all-purpose compute; serverless vs classic; autoscaling and auto-termination; and committed-use planning
- Define and enforce resource governance: budgets, quotas, alerts, and Azure Policy for tagging and approved SKUs, plus Databricks cluster policies and custom tags for cost attribution
- Automate cost controls (e.g., shutdown schedules for non-production,



anomaly alerts)
- Partner with engineering teams to review architectures for cost efficiency
- Prepare regular cost reports and present insights to stakeholders
- Promote FinOps culture and practices across the organization

Required Qualifications
- 3+ years in cloud operations, cost management, or FinOps
- Strong knowledge of Azure pricing models and billing, including Databricks DBU-based pricing
- Experience with cost analysis tools and data visualization
- Ability to translate technical usage into financial insight
- Scripting skills for automating reporting and cost controls

Preferred Qualifications
- FinOps Certified Practitioner
- Experience with third-party tools (Apptio Cloudability, CloudHealth, Kubecost)
- Understanding of Kubernetes cost allocation
- Experience building Databricks cost dashboards from system tables

📌 FinOps Engineer (España)
🏢 Infinity Quest - UK
📍 España