Analytics / Data Engineer
About The Position
Prop Firm Match Global FZCO is a leading platform for discovering, comparing, and selecting top proprietary trading firms. We provide traders with tools and features to easily compare challenge details, read verified reviews, see accurate payout data, and much more. We're a fast-moving, fully remote team with members from all around the world caring deeply about the quality of what we build. Our culture values ownership, clear communication, and practical impact over fluff. Whether you're a trader, technologist, marketer, or operator - your work here shapes how thousands of users find and trust prop firms. About the department Data & Analytics is the function that turns raw business data into decisions. We own the data platform, product analytics, marketing attribution, and revenue operations analytics. Our current priority is building reliable data infrastructure that supports both day-to-day reporting and the next wave of AI-driven workflows at PFM. About the role Own and scale the core data platform that powers reporting, attribution, product analytics, reconciliation, AI workflows, and company-wide decision-making at PFM. Turn fragmented raw data into reliable, reusable business intelligence layers that enable faster decisions and scalable automation.
Requirements
- 3+ years of experience as a Data Engineer or Analytics Engineer.
- Strong SQL and warehouse modelling skills (dbt, BigQuery preferred).
- Data pipeline engineering experience (Airbyte, orchestration, monitoring).
- Comfortable with workflow orchestration tools (Airflow or similar).
- Strong data governance, quality, and documentation mindset.
- Excellent async written communication - we are remote-first.
Nice To Haves
- AI-assisted coding fluency (e.g., Claude, Cursor, Copilot).
- Prior experience in fintech, prop trading, or SaaS.
- Experience integrating QuickBooks, CRM, or operational systems.
- Cross-functional partnership experience with Product, Marketing, or Finance.
Responsibilities
- Own BigQuery warehouse architecture and dbt models.
- Manage Airbyte pipelines and tracking infrastructure.
- Apply orchestration tools (e.g., Airflow) for recurring workflows.
- Monitor pipeline reliability and address breakages.
- Model revenue and commission flows end-to-end.
- Model product funnels for conversion analysis.
- Model partner performance for the Revenue Operations team.
- Build executive reporting layers.
- Implement governance, permissions, monitoring, and alerting.
- Automate recurring reports and reconciliations.
- Enable self-service analytics for non-technical stakeholders.
- Improve documentation and discoverability of warehouse tables.
- Integrate QuickBooks, CRM, support, social, and operational systems.
- Support AI enablement (Claude / internal AI assistants) with structured data.
- Use AI-assisted coding workflows to speed development.
- Partner with Engineering on integration architecture.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
