Software Engineer Finance Data Onboarding

Wise; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A global Fintech company based in London seeks a Software Engineer to join their Finance Data Onboarding team. This role involves building crucial infrastructure for data flow to ensure financial accuracy at scale. Candidates should have strong Java and Kafka experience, a solid understanding of distributed systems, and excellent communication skills. This full-time position requires collaboration with cross-functional teams to tackle high-scale challenges without the option for remote work.

Qualifications

• Strong Java expertise and knowledge of the Java ecosystem and Spring Boot.
• Hands-on experience with Kafka and understanding of distributed systems.
• Proven relational database experience including schema design and query optimization.
• Strong product mindset to prioritize work based on customer needs.
• Excellent communication skills for effective collaboration.

Responsibilities

• Build and evolve infrastructure connecting data flow from services to Finance.
• Work with Finance Data Assurance team on real-time data processing.
• Implement fault-tolerant solutions for high-scale data processing.

Skills

Java expertise

Spring Boot

Kafka

PostgreSQL/MariaDB

Data-driven decision making

Collaboration skills

Job description

Wise is scaling rapidly in volume revenue and product offerings. To keep up our core Finance service (ledgering assurance reporting) requires a seamless flow of reliable data from product teams.

As a Software Engineer in the Finance Data Onboarding team you will build and evolve the infrastructure that connects these worlds. You will ensure data flows from numerous services across Wise to Finance in a performant scalable way enabling us to maintain financial accuracy even as we scale exponentially.

You will be joining a high-impact focused team of 2 engineers based in London.

Team Mission

We exist to ensure the integrity and scalability of Wise's financial data foundation. By connecting Finance services directly to product data via performant real‑time rails we empower teams with the tools they need to handle financial obligations with confidence and efficiency.

Immediate Collaboration

In the beginning you will work very closely with the Finance Data Assurance team helping them migrate their controls to our new real‑time data processing rails.

Tackle High‑Scale Challenges

You will help mature a pipeline that already processes 200 million product attribute events per day implementing fault‑tolerant solutions to ensure it remains performant as we scale.

Expand the Vision

You will help drive the adoption of this solution across other Finance domains (ledgering reporting) maturing the architecture to handle data consistency across the entire company.

High‑Scale Distributed Systems

You will be dealing with 200 million events per day (and growing). This requires solving hard engineering problems regarding throughput latency and partition tolerance.

Architectural Impact

Since the team is currently small (2 engineers) and we are at the beginning of this migration journey you will have a massive influence on architectural decisions and how we shape the future of financial data at Wise.

Deep Domain Exposure

You will see under the hood of a global Fintech. You will work across the boundary of Finance gaining deep knowledge of how accounting happens at a massive scale.

Real‑Time Complexity

You will move us from batch‑reliant processes to real‑time event streaming using Kafka requiring a deep understanding of asynchronous communication patterns and eventual consistency.

Qualifications

• Strong Java expertise with deep knowledge of the Java ecosystem and Spring Boot framework including writing clean, testable and maintainable code.
• Hands‑on experience with messaging systems such as Kafka and an understanding of distributed system patterns.
• Proven experience working with relational databases (PostgreSQL/MariaDB) including schema design and query optimisation.
• A strong product mindset with the ability to prioritise work based on customer needs and make informed data‑driven decisions.
• High sense of ownership and excellent communication skills enabling effective collaboration and the ability to drive projects across multiple teams.

Additional Information

• How we work a practical guide
• Wise Tech Stack (2025 update)
• Our Engineering career map
• Scaling our Infrastructure; how we make it work
• Wise Engineering
• Wise Benefits

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.

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Remote Work

No

Employment Type

Full‑time