Data Engineer

About Bureau Bureau is a unified risk decisioning platform for Compliance, Fraud, and Transaction risks. Our platform is a single decision-making engine, powered by a 1 billion+ identity knowledge graph. Over 150 Banks, fintechs, retailers, and digital platforms use Bureau to verify identities faster and stop fraud earlier globally. Bureau has raised $50M+ from renowned Silicon Valley and global investors including Sorenson Capital and PayPal Ventures and is expanding rapidly from APAC to Americas, Europe, and beyond. Why Bureau? Bureau is building the infrastructure that makes digital identities and transactions safe and trustworthy for billions of people. The mission is big, the problems are complex, and the impact is real. We hire people who want that level of responsibility. People who move fast, build systems from scratch, and care deeply about turning strategy into execution. If you want predictability or narrow scope, this won't be your place. If you want to shape how a scaling global company operates—keep reading. What You'll Do Build and maintain batch and streaming pipelines that ingest, clean, and transform data from device SDKs, internal services, partner APIs, and third-party data providers Write and own backend services and RESTful APIs that serve data to internal teams and to real-time decisioning paths Develop Airflow DAGs powering reporting, compliance analytics, model training, and feature pipelines, and keep them healthy day to day Write Spark jobs and SQL transformations against our data lake, and tune them when they get slow or expensive Add monitoring, alerting, and data quality checks to the pipelines you own so problems surface before a stakeholder notices Debug production issues across the stack: a Kafka consumer lagging, a schema change breaking downstream, a query that got 10x slower after a data volume jump Work with the infrastructure your pipelines and services run on — containers, deployments, cluster configs — and help keep it stable