Data engineer in real time

Wise is a global technology company, building the best way to move and manage the world’s money. We are looking for a passionate Senior Data Engineer II to join our Treasury Global Liquidity team. In this role, you will help design and build the foundations of our real-time liquidity observability stack and core streaming data pipelines that power global financial operations at Wise.

• You will help design and build the foundations of our real-time liquidity observability stack and core streaming data pipelines that power global financial operations at Wise.
• You will be responsible for delivering key infrastructure initiatives, setting the technical streaming strategyand building robust, scalable systems that handle high-velocity financial movement with zero room for error.
• You will transform the financial engineering impact by pioneering our real-time Liquidity Attribution Model (LAM)!
• You will architect high-throughput Kafka and Flink streaming pipelines that continuously process global bank transactions, dynamically balancing demand against supply intraday.
• You'll build the high-octane engine behind our cash positioning, routing high-value transactions instantaneously with fine-grained event controls, fueling ML forecasting models to maximize yield on surplus capital, and bulletproofing our event architecture against out-of-order spikes, network partitions, and schema shifts.
• You will also master a cutting-edge Medallion architecture and pairing streaming pipelines with sub-second OLAP querying, empowering Treasury Ops with instant, precise visibility into unencumbered liquidity redefining how global treasury operates at scale long before end-of-day.

• Proven track record building, deploying, and operating production-grade, low-latency stream processing pipelines using Apache Kafka (or Kafka Streams, Flink, Spark Streaming).
• Deep hands-on experience handling duplicate events, out-of-order log processing, late-arriving data, and exactly-once processing semantics in financial or mission-critical domains.
• Strong expertise in windowing techniques (tumbling, sliding, session windows), stateful stream processing, and high-throughput real-time aggregation across streaming data pipelines.
• Advanced experience in modeling data for both real-time stream consumer patterns and downstream analytical stores (e.g., event schemas, state store schemas, schema evolution with Protobuf/Avro).
• You will instinctively design for dead-letter queues, backpressure management, circuit breakers, and state-store recovery.

• £111,000- £145,000 plus RSUs