[Hiring] FinOps Data Engineer @Cloudfresh ⛅️

Role Description

As a FinOps Data Engineer at Cloudfresh, you will play a key role in owning and industrializing Cloudfresh's financial data infrastructure, building a BigQuery-based platform that unifies billing, project, bank, and operational data into a single source of truth across our global entities.

Qualifications

• 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.
• 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 paired with strong analytical and problem-solving skills.
• Excellent communication skills with the ability to explain complex technical concepts simply to non-technical stakeholders.

Requirements

• 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.
• Implement built-in data quality controls, automated checks, and AI data processing/validation for financial integrity and unit economics alerts.
• Document data lineage, audit data sources, and maintain robust forward-looking capabilities such as anomaly detection and budget-vs-actual tracking.

Benefits

• Competitive Salary & Transparent Motivation: Receive a competitive base salary with performance-based bonuses, providing clear financial rewards for your success.
• Flexible Work Format: Work remotely with flexible hours, allowing you to balance your professional and personal life efficiently.
• Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud solutions, enhancing your expertise and equipping you with the tools to succeed in an ever-evolving industry.
• International Collaboration: Work alongside A-players and seasoned professionals in the cloud industry. Expand your expertise by engaging with international markets across the EMEA and CEE regions.
• Vibrant Team Environment: Be part of an innovative, dynamic team that fosters both personal and professional growth, creating opportunities for you to advance in your career.