FinOps Data Engineer

Що робити

Build and maintain automated BigQuery ETL/ELT data pipelines ingesting data from billing systems, Asana, HubSpot CRM, bank feeds and vendor data across global entities.
Automate multi-entity invoice consolidation and marginality reporting (by entity, customer, vendor) to replace manual spreadsheet models.
Design and implement SaaS metrics data models (MRR/ARR and others) and OPEX/Professional Services cost allocation pipelines.
Develop automated monthly management reporting, double-entry architecture reconciliations (cash vs. accrual basis), and consolidated financial statement data pipelines.
Create interactive Looker Studio dashboards and self-service reporting environments for key stakeholders.

Deep practical knowledge of the GCP native data stack (BigQuery, Cloud Storage, Cloud Functions, BigQuery ML).
Strong experience with data integration and orchestration tools (Dataflow, Dataproc, Pub/Sub, Cloud Composer, or Dataform) for building optimized ETL/ELT pipelines.
Proficiency with analytics and visualization tools, specifically Looker or Looker Studio.
Solid understanding of FinOps processes, unit economics, cloud pricing models, and financial metrics (e.g., MRR/ARR, marginality).
Experience integrating data from APIs, relational databases, and financial/billing systems.

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