FinOps Data Engineer

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Google Chrome Enterprise Partner, Zendesk Advanced Partner, Asana Platinum Solutions Partner, GitLab Select Partner, HubSpot Diamond Partner, Miro Solution Partner, Okta Activate Partner, Cloudflare Powered+ Partner, JumpCloud Platinum Partner, and Microsoft Partner.

We’re on the mission to #GenerateTheReal✨ for people and organizations. Real growth happens when technology truly supports people — not the other way around. That’s why we focus on empowering teams with leading cloud ecosystems and certified experts, helping companies move faster across AI, Data, Cybersecurity, and beyond.

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.

Requirements:

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.

Responsibilities:

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.

Nice to have

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.

Work conditions

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.

When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).

Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes. You can withdraw this consent at any time.