FinOps Data Engineer (GCP)

Location: Remote with flexible hours

Company

Cloud and technology services provider supporting more than 2,500 clients across 70+ markets in cloud, cybersecurity, CRM, collaboration, DevSecOps, and data and AI.

What you will do

• Build and maintain automated BigQuery ETL/ELT pipelines integrating billing systems, Asana, HubSpot CRM, bank feeds, and vendor data across global entities.
• Automate multi-entity invoice consolidation, marginality reporting, SaaS metrics models, and OPEX and Professional Services cost allocation.
• Develop monthly management reporting, double-entry architecture reconciliations across cash and accrual bases, and consolidated financial statement data pipelines.
• Create interactive Looker Studio dashboards and self-service reporting environments for stakeholders.
• Implement data quality controls, automated checks, and AI-based data processing and validation for financial integrity and unit economics alerts.
• Document data lineage, audit data sources, and develop anomaly detection and budget-versus-actual tracking capabilities.

Requirements

• Deep practical knowledge of the GCP-native data stack, including BigQuery, Cloud Storage, Cloud Functions, and BigQuery ML.
• Strong experience with data integration and orchestration tools such as Dataflow, Dataproc, Pub/Sub, Cloud Composer, or Dataform for optimized ETL/ELT pipelines.
• Proficiency with Looker or Looker Studio.
• Solid understanding of FinOps processes, unit economics, cloud pricing models, and financial metrics including MRR, ARR, and marginality.
• Experience integrating APIs, relational databases, and financial or billing systems.
• Strong data engineering background with data warehousing and data modeling capabilities.
• High autonomy, extreme ownership, and a proactive, self-driven mindset.
• Fast and accurate execution with strong analytical and problem-solving skills.
• Excellent communication skills and the ability to explain complex technical concepts simply to non-technical stakeholders.

Nice to have

• FinOps Foundation Certified Practitioner or equivalent certification.
• Experience in consulting or client-facing environments.
• Experience with infrastructure-as-code tools such as Terraform or Deployment Manager.
• Familiarity with Kubernetes cost optimization and containerized workloads.
• Experience integrating cost optimization into CI/CD or DevOps workflows.

Culture & Benefits

• Remote work with flexible hours.
• Competitive base salary with performance-based bonuses.
• Training on leading cloud products and solutions.
• International collaboration across EMEA and CEE markets.
• Values centered on customer focus, ownership, direct communication, high standards, and practical execution.