Staff Data Engineer - Global Payments Platform

About the RoleOur payment platform is scaling fast — more volume, more PSPs, more markets — and the data infrastructure needs to keep up. This is a 0-to-1 role: you won't be inheriting a polished stack. You'll be the one building it. Why join us? Every pipeline you build has a direct impact on how the business operates at scaleGain rare, end-to-end exposure to the global payments landscapeLead and grow a distributed team at a pivotal stage of our scaling journey What You'll BuildPayment Data Infrastructure (from scratch)Design and build the core data platform hands-on: ingestion, transformation, and serving layersModel payment-domain data end-to-end — transactions, settlements, chargebacks, PSP fees, reconciliationPick pragmatic solutions that work today and scale tomorrow; no over-engineering, no analysis paralysisScalable PipelinesBuild and maintain reliable batch and streaming ETL/ELT pipelines handling high-volume payment eventsOwn orchestration and transformation end-to-end — you write the code, you own the incidentsWork across our stack for large-scale processing and unified analytics workflowsIterate fast: ship a working version, observe it in production, improve it — repeatData Governance & TrustPut quality checks, lineage, and schema contracts in place early — the kind of foundations that save the team pain laterDefine practical standards for PII handling without turning governance into bureaucracyInstrument pipelines with real observability: alerting, SLA tracking, anomaly detectionLeadership & Cross-functional ImpactMentor engineers across locations and drive engineering best practicesBuild alignment within a distributed team through standards and documentationPartner with cross-functional stakeholders to deliver scalable data solutionsTranslate ambiguous business needs into clear, executable outcomes

Who You AreCore requirements5+ years in data engineering, with meaningful hands-on experience in payments, fintech, or financial servicesYou've taken data infrastructure from zero to production— designed, shipped, debugged, iteratedHands-on experience with Databricks, Airflow, and dbt; comfortable with a modern cloud DWH (Snowflake or BigQuery); Python and SQL are second nature - you write transformation logic yourself, not just review others'Comfortable mentoring distributed junior engineers with patience and structureYou find solutions before finding excuses — ambiguity doesn't paralyse youStrong plusHands-on experiences on AI/LLM tooling — whether you've built ML feature pipelines, experimented with AI-assisted engineering, or just follow where the space is headingSolid grasp of at least one payment channel: card processing, bank transfers, e-wallets