Senior Data Engineer II - Real Time Data Engineering- Java Wise London, GB Engineering check more →

Neobankbeat; Greater London; Híbrido; GBP 120.000 - 170.000; Jornada completa

Descripción de la vacante

Wise is seeking a Senior Data Engineer II to join the Real Time Data Engineering team in London. You will design and build the foundations of our real-time liquidity observability stack and core streaming data pipelines powering global financial operations.

You will own high-velocity data movement with zero room for error, enabling dynamic, real-time capital positioning across currencies and accounts. You will architect low-latency streaming pipelines with Kafka and Flink, supporting ML

Formación

• Experience designing real-time streaming data architectures.
• Proficient in Java and streaming platforms.
• Experience with Kafka pipelines and Flink.
• Ability to build scalable, low-latency systems.
• Strong collaboration with cross-functional teams.

Responsabilidades

• Architect high-throughput Kafka and Flink pipelines.
• Develop real-time liquidity observability stack.
• Support production readiness with monitoring and testing.
• Partner with product managers and data scientists.

Conocimientos

Java

Kafka

Flink

Streaming pipelines

Low latency design

Herramientas

Kafka

Flink

Descripción del empleo

engineering · Wise# Senior Data Engineer II - Real Time Data Engineering- JavaLondon, GBEngineeringHybridposted todayWe 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 strategyand 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. Engineering at Wise is founded on clear communication, healthy debate to reach technical clarity, and a deep consciousness of system edge cases and failure modes before code hits production. What will you be working on? 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.This is an opportunity to architect low-latency streaming pipelines that deliver instant, global liquidity visibility across every currency, jurisdiction, and nostro account. 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. The squad operates with high ownership and low ego, thriving on clear, actionable communication that bridges the gap between complex streaming architecture and real-world Treasury impact. Navigating high-stakes trade-offs across latency, financial cost, regulatory boundaries, and customer experience is second nature to us. This will give you the opportunity to proactively chase clarity using collaborative RFCs, whiteboard sessions, and direct stakeholder loops to solve ambiguity before it hits production.Above all, we lead by example: writing well-tested, maintainable code, rigorous design reviews, and constantly raising the engineering bar together.