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. 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 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
Reliable, well-modelled, documented warehouse data that powers reporting and AI workflows across the company.
Manage Airbyte pipelines and tracking infrastructure.
Monitor pipeline reliability and address breakages.
Objective 2 - Build reliable business data models
Trusted source of truth across revenue, attribution, product funnels, partner performance, finance, and executive reporting.
Model product funnels for conversion analysis.
Model partner performance for the Revenue Operations team.
Objective 3 - Improve data quality and reduce manual work
Reduced reconciliation discrepancies; Implement governance, permissions, monitoring, and alerting.
Automate recurring reports and reconciliations.
Objective 4 - Enable AI workflows and new integrations
AI/automation initiatives scale on clean data; 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.
Konstantinos Kattidis, Head of Data & Analytics.
Product, Marketing, Finance, Operations, Analytics, Engineering.
Remote, with strong overlap with CET hours (4+ hours of overlap).
Full-time.
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).
~ Strong data governance, quality, and documentation mindset.
~ Excellent async written communication - we are remote-first.
AI-assisted coding fluency (e.g., Experience integrating QuickBooks, CRM, or operational systems.
Cross-functional partnership experience with Product, Marketing, or Finance.
Application screening:
We carefully review all applications to identify candidates whose background aligns with the role’s requirements. You’ll receive a timely and transparent update on your application status.
Video intro + role fit questionnaire:
You'll record a brief video introduction and complete a written questionnaire. This helps us understand who you are, your relevant background, and how your experience aligns with the role without either side committing to a live call upfront.
We'll walk you through how PFM works, what remote ownership looks like in practice, and what success in this role looks like. A short, scoped exercise based on real PFM data challenges - not abstract problems. You will meet the Head of Data & Analytics at PFM to focus on your technical expertise, analytical methodology, and how you approach real business problems. A cross-team interview evaluated against PFM's structured values scorecard: You'll meet a peer and a bar raiser from outside the immediate team.
Full transparency throughout, and time for you to make an informed decision.
Before applying take into account that:
▸ If you don’t meet every single qualification but believe you can excel in the role based on what it requires - we encourage you to apply.
▸ If this role isn’t the right match but you have experience in trading operations, customer success, compliance, support, partnerships, or a related area - we still want to hear from you.
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
Reliable, well-modelled, documented warehouse data that powers reporting and AI workflows across the company.
Manage Airbyte pipelines and tracking infrastructure.
Monitor pipeline reliability and address breakages.
Objective 2 - Build reliable business data models
Trusted source of truth across revenue, attribution, product funnels, partner performance, finance, and executive reporting.
Model product funnels for conversion analysis.
Model partner performance for the Revenue Operations team.
Objective 3 - Improve data quality and reduce manual work
Reduced reconciliation discrepancies; Implement governance, permissions, monitoring, and alerting.
Automate recurring reports and reconciliations.
Objective 4 - Enable AI workflows and new integrations
AI/automation initiatives scale on clean data; 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.
Konstantinos Kattidis, Head of Data & Analytics.
Product, Marketing, Finance, Operations, Analytics, Engineering.
Remote, with strong overlap with CET hours (4+ hours of overlap).
Full-time.
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).
~ Strong data governance, quality, and documentation mindset.
~ Excellent async written communication - we are remote-first.
AI-assisted coding fluency (e.g., Experience integrating QuickBooks, CRM, or operational systems.
Cross-functional partnership experience with Product, Marketing, or Finance.
Application screening:
We carefully review all applications to identify candidates whose background aligns with the role’s requirements. You’ll receive a timely and transparent update on your application status.
Video intro + role fit questionnaire:
You'll record a brief video introduction and complete a written questionnaire. This helps us understand who you are, your relevant background, and how your experience aligns with the role without either side committing to a live call upfront.
We'll walk you through how PFM works, what remote ownership looks like in practice, and what success in this role looks like. A short, scoped exercise based on real PFM data challenges - not abstract problems. You will meet the Head of Data & Analytics at PFM to focus on your technical expertise, analytical methodology, and how you approach real business problems. A cross-team interview evaluated against PFM's structured values scorecard: You'll meet a peer and a bar raiser from outside the immediate team.
Full transparency throughout, and time for you to make an informed decision.
Before applying take into account that:
▸ If you don’t meet every single qualification but believe you can excel in the role based on what it requires - we encourage you to apply.
▸ If this role isn’t the right match but you have experience in trading operations, customer success, compliance, support, partnerships, or a related area - we still want to hear from you.
Remote Analytics / Data Engineer in remote at Unknown Company
This position is listed as full time and able to be worked remotely.