Job Description

Company Description
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 and .

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.
You will join us at the beginning of a major migration journey.
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
Interested? Find out more:
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 .
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Skills Required