Senior Data Engineer II - Real Time Data Engineering

About the Position

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 be responsible for delivering key infrastructure initiatives, setting the technical streaming strategy, and building robust, scalable systems that handle high-velocity financial movement with zero room for error. You will have a direct and measurable impact across multiple Wise products by enabling dynamic, real-time capital positioning as one of the founding engineers of a high-visibility team, laying the groundwork today and scaling the full engineering capability over the next year.

At Wise, we operate in autonomous, cross-functional teams. You will work in a highly collaborative environment, partnering closely with Product Managers, Data Scientists, Quantitative Analysts, and Treasury Ops.

Responsibilities

• Transform the financial engineering impact by pioneering our real-time Liquidity Attribution Model (LAM).
• Architect high-throughput Kafka and Flink streaming pipelines that continuously process global bank transactions, dynamically balancing demand against supply intraday.
• Build the high-octane engine behind our cash positioning, routing high-value transactions instantaneously with fine-grained event controls.
• Fuel ML forecasting models to maximize yield on surplus capital.
• Bulletproof our event architecture against out-of-order spikes, network partitions, and schema shifts.
• Master a cutting-edge Medallion architecture and pair streaming pipelines with sub-second OLAP querying.
• Empower Treasury Ops with instant, precise visibility into unencumbered liquidity.

Requirements

• Advanced Stream Processing & Event-Driven Architecture: Proven track record building, deploying, and operating production-grade, low-latency stream processing pipelines using Apache Kafka (or Kafka Streams, Flink, Spark Streaming).
• Idempotency & Event Reliability: 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.
• Real-Time Data Aggregation: Strong expertise in windowing techniques (tumbling, sliding, session windows), stateful stream processing, and high-throughput real-time aggregation across streaming data pipelines.
• Streaming Data Modeling: 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).
• Defensive Engineering & Failure Modes: Instinctively design for dead-letter queues, backpressure management, circuit breakers, and state-store recovery.

We Offer

• £111,000 - £145,000 plus RSUs
• Wise Benefits

About the Company

Wise is a global technology company, building the best way to move and manage the world’s money.

Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.

For everyone, everywhere.

More about our mission and what we offer.

For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.

Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

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