Senior Real-Time Data Engineer: Liquidity & Streaming

Wise; City Of London; On-site; GBP 111,000 - 145,000; Full time

Benefits offered by this job

RSUs

Wise Benefits

Job summary

As a founding engineer on a cross-functional Treasury Ops team, you will craft scalable, event-driven systems, enable instantaneous capital positioning, and ensure reliability with defensive engineering practices. The role emphasizes ownership, collaboration, and delivering near-zero-error financial infrastructure at scale.

Qualifications

• Proven experience building production-grade, low-latency stream processing pipelines using Apache Kafka, Flink or Spark Streaming.
• Deep hands-on experience with duplicate events, out-of-order data, late-arriving data, and exactly-once processing semantics in critical domains.
• Strong expertise in windowing techniques, stateful streaming, and high-throughput real-time aggregation across pipelines.
• Advanced modeling of data for real-time streams and downstream analytical stores, including schema evolution with Protobuf/Avro.
• Defensive engineering practices: dead-letter queues, backpressure, circuit breakers, and state-store recovery.

Responsibilities

• Architect high-throughput streaming pipelines (Kafka, Flink) for real-time liquidity observability.
• Build low-latency infrastructure to enable real-time capital positioning across currencies and accounts.
• Collaborate with product, data science, and treasury operations to deliver robust streaming systems.
• Lead design reviews and RFCs to ensure clarity before production.

Skills

Advanced stream processing

Event-driven architecture

Idempotency & reliability

Real-time data aggregation

Streaming data modeling

Defensive engineering

Tools

Kafka

Flink

Spark Streaming

Job description

As a founding engineer on a cross-functional Treasury Ops team, you will craft scalable, event-driven systems, enable instantaneous capital positioning, and ensure reliability with defensive engineering practices. The role emphasizes ownership, collaboration, and delivering near-zero-error financial infrastructure at scale.