[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.