{"schemaVersion":"jobsearcher.job.v1","id":"e7730c8d4ac8f33c8a9af4e3","url":"https://jobsearcher.com/jobs/e7730c8d4ac8f33c8a9af4e3","canonicalUrl":"https://jobsearcher.com/jobs/e7730c8d4ac8f33c8a9af4e3","title":"Remote Analytics / Data Engineer","description":"Description\nProp 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.\nAbout the department\nData & 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.\nAbout the role\nOwn 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.\n\nPerformance objectives\nObjective 1 - Own the data platform foundation\nOutcome: Reliable, well-modelled, documented warehouse data that powers reporting and AI workflows across the company.\nTypical tasks:\nOwn BigQuery warehouse architecture and dbt models.\nManage Airbyte pipelines and tracking infrastructure.\nApply orchestration tools (e.g., Airflow) for recurring workflows.\nMonitor pipeline reliability and address breakages.\n\nObjective 2 - Build reliable business data models\nOutcome: Trusted source of truth across revenue, attribution, product funnels, partner performance, finance, and executive reporting.\nTypical tasks:\nModel revenue and commission flows end-to-end.\nModel product funnels for conversion analysis.\nModel partner performance for the Revenue Operations team.\nBuild executive reporting layers.\n\nObjective 3 - Improve data quality and reduce manual work\nOutcome: Reduced reconciliation discrepancies; reduced manual reporting overhead across Finance, Analytics, and Partners teams.\nTypical tasks:\nImplement governance, permissions, monitoring, and alerting.\nAutomate recurring reports and reconciliations.\nEnable self-service analytics for non-technical stakeholders.\nImprove documentation and discoverability of warehouse tables.\n\nObjective 4 - Enable AI workflows and new integrations\nOutcome: AI/automation initiatives scale on clean data; new sources are integrated without manual stitching.\nTypical tasks:\nIntegrate QuickBooks, CRM, support, social, and operational systems.\nSupport AI enablement (Claude / internal AI assistants) with structured data.\nUse AI-assisted coding workflows to speed development.\nPartner with Engineering on integration architecture.\n\nReporting cadence\nReports to: Konstantinos Kattidis, Head of Data & Analytics.\nDirect reports: None.\nKey cross-functional partners: Product, Marketing, Finance, Operations, Analytics, Engineering.\nUpward reporting cadence: Weekly 1:1 with Head of D&A; monthly written summary; quarterly OKR review.\n\nLocation & work setup\nRemote, with strong overlap with CET hours (4+ hours of overlap).\nWorking hours: roughly 9 AM – 6 PM CET, with reasonable flexibility.\nEmployment type: Full-time.\n\nCompensation:\n$3,500–$5,500 / month gross\n\nRequirements\nWhat we look for\nMust have\n3+ years of experience as a Data Engineer or Analytics Engineer.\nStrong SQL and warehouse modelling skills (dbt, BigQuery preferred).\nData pipeline engineering experience (Airbyte, orchestration, monitoring).\nComfortable with workflow orchestration tools (Airflow or similar).\nStrong data governance, quality, and documentation mindset.\nExcellent async written communication - we are remote-first.\nNice to have\nAI-assisted coding fluency (e.g., Claude, Cursor, Copilot).\nPrior experience in fintech, prop trading, or SaaS.\nExperience integrating QuickBooks, CRM, or operational systems.\nCross-functional partnership experience with Product, Marketing, or Finance.\n\nBenefits\nHiring stages\nWe keep our process simple, transparent, and respectful of your time.\nHere’s what to expect:\n1. Application screening:\nWe 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.\n2. Video intro + role fit questionnaire:\nA short async step - no scheduling required. 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.\n3. Discovery HR Interview\nA conversation with our HR team focused on company and culture match. We'll walk you through how PFM works, what remote ownership looks like in practice, and what success in this role looks like. You'll have plenty of space to ask questions and share your goals.\n4. Real-world task\nA short, scoped exercise based on real PFM data challenges - not abstract problems. This stage is designed to give both sides a realistic view of the work before committing further.\n5. A deep-dive Professional interview\nYou will meet the Head of Data & Analytics at PFM to focus on your technical expertise, analytical methodology, and how you approach real business problems. This is the decisive conversation on domain skills and role-specific experience.\n6. Functional Interview\nA broader professional conversation with a senior member of the team: We'll explore your analytical thinking, how you communicate insights to different audiences, how you handle ambiguity, and how you operate within cross-functional environments.\n7. Peer & values conversation\nA cross-team interview evaluated against PFM's structured values scorecard: You'll meet a peer and a bar raiser from outside the immediate team.\nIf there's a strong mutual match, we start with an informal conversation to align on expectations, then follow up with a formal written offer. Full transparency throughout, and time for you to make an informed decision.\nBefore applying take into account that:\n▸ 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.\n▸ We are an equal opportunity employer and welcome applicants from all backgrounds, experiences, and perspectives.\n▸ Even if it’s not listed as a formal requirement, we truly value candidates who have clear familiarity with the prop trading industry and us, our mission and what we do.\n\nNot the right fit for this role?\nIf 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. Join our Talent Pool and we’ll reach out when a relevant role opens. Every submission is reviewed, and the pool is always the first place we look before opening a new search.","company":"GrabJobs","rawCompany":"grabjobs","city":"League City","state":"TX","isRemote":true,"isActive":false,"createdAt":"2026-09-07T03:19:51.000Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Remote Analytics / Data Engineer","description":"Description\nProp 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.\nAbout the department\nData & 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.\nAbout the role\nOwn 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.\n\nPerformance objectives\nObjective 1 - Own the data platform foundation\nOutcome: Reliable, well-modelled, documented warehouse data that powers reporting and AI workflows across the company.\nTypical tasks:\nOwn BigQuery warehouse architecture and dbt models.\nManage Airbyte pipelines and tracking infrastructure.\nApply orchestration tools (e.g., Airflow) for recurring workflows.\nMonitor pipeline reliability and address breakages.\n\nObjective 2 - Build reliable business data models\nOutcome: Trusted source of truth across revenue, attribution, product funnels, partner performance, finance, and executive reporting.\nTypical tasks:\nModel revenue and commission flows end-to-end.\nModel product funnels for conversion analysis.\nModel partner performance for the Revenue Operations team.\nBuild executive reporting layers.\n\nObjective 3 - Improve data quality and reduce manual work\nOutcome: Reduced reconciliation discrepancies; reduced manual reporting overhead across Finance, Analytics, and Partners teams.\nTypical tasks:\nImplement governance, permissions, monitoring, and alerting.\nAutomate recurring reports and reconciliations.\nEnable self-service analytics for non-technical stakeholders.\nImprove documentation and discoverability of warehouse tables.\n\nObjective 4 - Enable AI workflows and new integrations\nOutcome: AI/automation initiatives scale on clean data; new sources are integrated without manual stitching.\nTypical tasks:\nIntegrate QuickBooks, CRM, support, social, and operational systems.\nSupport AI enablement (Claude / internal AI assistants) with structured data.\nUse AI-assisted coding workflows to speed development.\nPartner with Engineering on integration architecture.\n\nReporting cadence\nReports to: Konstantinos Kattidis, Head of Data & Analytics.\nDirect reports: None.\nKey cross-functional partners: Product, Marketing, Finance, Operations, Analytics, Engineering.\nUpward reporting cadence: Weekly 1:1 with Head of D&A; monthly written summary; quarterly OKR review.\n\nLocation & work setup\nRemote, with strong overlap with CET hours (4+ hours of overlap).\nWorking hours: roughly 9 AM – 6 PM CET, with reasonable flexibility.\nEmployment type: Full-time.\n\nCompensation:\n$3,500–$5,500 / month gross\n\nRequirements\nWhat we look for\nMust have\n3+ years of experience as a Data Engineer or Analytics Engineer.\nStrong SQL and warehouse modelling skills (dbt, BigQuery preferred).\nData pipeline engineering experience (Airbyte, orchestration, monitoring).\nComfortable with workflow orchestration tools (Airflow or similar).\nStrong data governance, quality, and documentation mindset.\nExcellent async written communication - we are remote-first.\nNice to have\nAI-assisted coding fluency (e.g., Claude, Cursor, Copilot).\nPrior experience in fintech, prop trading, or SaaS.\nExperience integrating QuickBooks, CRM, or operational systems.\nCross-functional partnership experience with Product, Marketing, or Finance.\n\nBenefits\nHiring stages\nWe keep our process simple, transparent, and respectful of your time.\nHere’s what to expect:\n1. Application screening:\nWe 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.\n2. Video intro + role fit questionnaire:\nA short async step - no scheduling required. 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.\n3. Discovery HR Interview\nA conversation with our HR team focused on company and culture match. We'll walk you through how PFM works, what remote ownership looks like in practice, and what success in this role looks like. You'll have plenty of space to ask questions and share your goals.\n4. Real-world task\nA short, scoped exercise based on real PFM data challenges - not abstract problems. This stage is designed to give both sides a realistic view of the work before committing further.\n5. A deep-dive Professional interview\nYou will meet the Head of Data & Analytics at PFM to focus on your technical expertise, analytical methodology, and how you approach real business problems. This is the decisive conversation on domain skills and role-specific experience.\n6. Functional Interview\nA broader professional conversation with a senior member of the team: We'll explore your analytical thinking, how you communicate insights to different audiences, how you handle ambiguity, and how you operate within cross-functional environments.\n7. Peer & values conversation\nA cross-team interview evaluated against PFM's structured values scorecard: You'll meet a peer and a bar raiser from outside the immediate team.\nIf there's a strong mutual match, we start with an informal conversation to align on expectations, then follow up with a formal written offer. Full transparency throughout, and time for you to make an informed decision.\nBefore applying take into account that:\n▸ 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.\n▸ We are an equal opportunity employer and welcome applicants from all backgrounds, experiences, and perspectives.\n▸ Even if it’s not listed as a formal requirement, we truly value candidates who have clear familiarity with the prop trading industry and us, our mission and what we do.\n\nNot the right fit for this role?\nIf 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. Join our Talent Pool and we’ll reach out when a relevant role opens. Every submission is reviewed, and the pool is always the first place we look before opening a new search.","datePosted":"2026-09-07T03:19:51.000Z","dateModified":"2026-09-07T03:19:51.000Z","hiringOrganization":{"@type":"Organization","name":"GrabJobs","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"League City","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e7730c8d4ac8f33c8a9af4e3"},"url":"https://jobsearcher.com/jobs/e7730c8d4ac8f33c8a9af4e3"}}