Analytics​/Data Engineer

Compensation

$3,500-$5,500 / month gross

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 are 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.

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.

Own and scale the core data platform that powers reporting, attribution, product analytics, reconciliation, AI workflows, and company-wide decision-making n fragmented raw data into reliable, reusable business intelligence layers that enable faster decisions and scalable automation.

Outcome:
Reliable, well-modelled, documented warehouse data that powers reporting and AI workflows across the company.

• Own Big Query 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

Outcome:
Trusted source of truth across revenue, attribution, product funnels, partner performance, finance, and executive reporting.

• 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

Outcome:
Reduced reconciliation discrepancies; reduced manual reporting overhead across Finance, Analytics, and Partners teams.

• 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

Outcome: AI/automation initiatives scale on clean data; new sources are integrated without manual stitching.

• Integrate Quick Books, 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

• Reports to:
  
  Konstantinos Kattidis, Head of Data & Analytics
• Direct reports:
  None
• Key cross‑functional partners:
  Product, Marketing, Finance, Operations, Analytics, Engineering
• Upward reporting cadence:
  Weekly 1:1 with Head of D&A; monthly written summary; quarterly OKR review

• Remote, with strong overlap with CET hours (4+ hours of overlap)
• Working hours:
  
  roughly 9 AM - 6 PM CET, with reasonable flexibility
• Employment type:
  
  Full‑time

• 3+ years of experience as a Data Engineer or Analytics Engineer
• Strong SQL and warehouse modelling skills (dbt, Big Query 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

• AI‑assisted coding fluency (e.g., Claude, Cursor, Copilot)
• Prior experience in fintech, prop trading, or SaaS
• Experience integrating Quick Books, CRM, or operational systems
• Cross‑functional partnership experience with Product, Marketing, or Finance

We provide competitive compensation, remote working flexibility, professional growth opportunities, and a collaborative, ownership‑driven culture within a fast‑moving, fully remote team.

We are an equal opportunity employer and welcome applicants from all backgrounds, experiences, and perspectives.