Analytics / Data Engineer

Compensation $3,500-$5,500 / month gross Company Overview 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. 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. Performance Objectives Objective 1 - Own the data platform foundation Outcome: Reliable, well-modelled, documented warehouse data that powers reporting and AI workflows across the company. 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 Objective 2 - Build reliable business data models 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 Objective 3 - Improve data quality and reduce manual work 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 Objective 4 - Enable AI workflows and new integrations Outcome: AI/automation initiatives scale on clean data; new sources are integrated without manual stitching. 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 Reporting Cadence 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 Location & Work Setup 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 Requirements Must Have 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 Have 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 Benefits We provide competitive compensation, remote working flexibility, professional growth opportunities, and a collaborative, ownership‑driven culture within a fast‑moving, fully remote team. Equal Opportunity Statement We are an equal opportunity employer and welcome applicants from all backgrounds, experiences, and perspectives. #J-18808-Ljbffr Prop Firm Match