Data Engineer (Data Platform) at CoinHako

<p style="min-height:1.5em">We're looking for a Data Engineer (Data Platform) to help build the systems the rest of the business runs on. Working alongside our Staff Engineer, you'll develop and support our data platform end to end — the metadata repository, the pipelines that feed it, the warehouse, and the internal web apps and AI our teams use every day.</p><p style="min-height:1.5em">This is the role that builds the platform. (Our Data Analysts, on Finance/Risk/Fraud, shape and validate what runs on top of it.) It's a broad brief for someone early in their career — you won't master every layer on day one, but you'll get exposure across the full stack and grow into deeper ownership over time.</p><p style="min-height:1.5em">Every dashboard, fraud signal, financial report, and AI-driven analysis is only as good as the data behind it. When the platform is solid, the teams that depend on it move fast and trust what they see — and that's the difference you'll make here.</p><p style="min-height:1.5em">You'll learn directly from an experienced Staff Engineer who owns the platform's direction, with real mentorship and a clear path toward senior data platform and architecture roles.</p><p style="min-height:1.5em">Day to day, your work answers questions like: Is our data fresh, complete, and reconciled with the source? Is the metadata layer easy to build on? Can the apps, analysts, and AI systems trust what they're reading, at any hour?</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>What you'll be doing:</strong></p><p style="min-height:1.5em"><em><strong>Build and support the platform</strong></em></p><p style="min-height:1.5em">• Contribute to and maintain the metadata repository that pipelines, apps, and analytics depend on</p><p style="min-height:1.5em">• Build and run ingestion and ELT pipelines (Airflow / MWAA) that bring transactions, product events, and third-party feeds in reliably and on time</p><p style="min-height:1.5em">• Keep the platform healthy — uptime, performance, cost, data quality, and scaling as volumes grow</p><p style="min-height:1.5em"><em><strong>Build the apps and AI on top</strong></em></p><p style="min-height:1.5em">• Build and maintain the internal web apps Risk, Fraud, and Reporting rely on — expect meaningful full-stack work, including frontend</p><p style="min-height:1.5em">• Shape features with users, prioritise, and iterate — not just build to spec</p><p style="min-height:1.5em">• Integrate AI capabilities (LLM / RAG, agentic analysis) into the platform and its apps</p><p style="min-height:1.5em"><em><strong>Enable analysts and downstream systems</strong></em></p><p style="min-height:1.5em">• Provide clean, well-modelled, documented datasets both analyst teams can build on</p><p style="min-height:1.5em">• Partner with analysts and stakeholders to expose new sources, evolve schemas, and align on metric definitions</p><p style="min-height:1.5em"><em><strong>Strengthen foundations and gover