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.
Job DescriptionAbout the role
We're looking for a Senior Backend Engineer to build and scale Wise's price comparison platform.
Comparison is about transparency—helping customers understand the real cost of sending money and why Wise is the better choice. You'll own the systems that collect pricing data from competitors and make it accessible across Wise, powering comparison tools and enabling data-driven decisions.
This means building robust scrapers, reliable data pipelines, and APIs that teams depend on. Accuracy and trust are non-negotiable.
You'll join the Marketing-Platform team in the Onboarding & Scalable Growth squad. We build the systems that unlock and optimise digital marketing and CRM, enabling £30+ million in marketing investment with proven ROI.
What you’ll do
Build the backbone: backend systems and APIs that power Wise’s comparison experiences.
Make scrapers feel “magical”: help define the roadmap for using LLMs and proven techniques to make data collection more stable, faster to evolve, and easier to scale.
Turn competitive pricing into a real-time advantage: expand and strengthen our competitive intelligence system across 100+ competitors in money transfer.
Obsess over data quality: build ingestion and validation pipelines with strong monitoring, accuracy checks, and rapid detection when the world changes.
Make data trustworthy by default: improve reliability, transparency and usability of marketing data so internal teams can move faster with confidence.
Design for scale: operate distributed, event-driven systems that stay reliable as volume and coverage grow.
Work like a small team building something big: collaborate daily with product, engineering, analytics and data partners to ship the right thing.
Own the whole experience: from shaping the solution to implementing, testing, releasing and watching it succeed in production.
Raise the bar: through great testing, thoughtful reviews, and feedback that makes the whole team better.
What we’re looking for (Must have)
5+ Years of working as a software engineer
Solid knowledge of relational databases and designing data models for correctness and performance.
Experience building distributed and concurrent systems (e.g., Kafka or equivalent).
Strong engineering fundamentals: testable code, unit + integration testing, and pragmatic testing strategies.
Clear communication: able to explain technical decisions to non-technical partners.
A product mindset: you prioritise customer outcomes and use data to guide decisions.
Comfortable working independently on ambiguous problems, taking end-to-end ownership.
Nice to have
Hands-on experience with scraping technologies at scale and maintaining data quality/accuracy.
Experience building backend systems with Java or Kotlin (or another JVM language).
Experience with Spring (or similar JVM frameworks).
Experience operating data-heavy systems with strong observability (monitoring, alerting, data quality checks).
Experience with measurement/attribution, marketing platforms, or comparison products (not required).
Fintech or regulated-environment experience (not required).
What your first 6 months could look like
You’ve embedded into the team, understood our goals and how your work connects to measurable outcomes.
You’ve shipped production features end-to-end and monitored their impact after release.
You’ve contributed to planning cycles and proposed improvements to take our comparison product further.
You’ve built confidence in Wise’s domain and engineering practices, and helped improve how the team works.
What you get back
RSUs in a growing company
Annual self-development budget
Statutory maternity leave, plus 18 fully paid weeks parental leave for birth or adoption
18 weeks paternity leave at full pay
3 fully paid “me days” per year
6-week paid sabbatical after four years
What does it take:
5+ years of experience in Java or Kotlin (or other JVM based language)
Strong experience with Spring framework, relational databases, distributed and concurrent systems (Kafka)
Experience in scraping technologies at scale and maintaining data accuracy
Close collaboration with product managers, data scientists, data analysts, engineers and other product teams is a must have and is something to expect to happen on a daily basis
You enjoy writing testable code and you have experience in testing strategies, such as unit testing, integration testing
You believe in and follow best coding practices, code reviews and open feedback
You have great communication skills and the ability to articulate complex, technical concepts to non-technical audience
You strive to improve our team culture and processes
A strong product mindset and passion for customer experience, you prioritise work with the customers in mind and make data-driven decisions to fix customer pain-points
Being able to work independently on customer problems is a key to success - you take responsibility and end-to-end ownership of your projects: drive and own them to make sure we hit the goals we want to achieve
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.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Top Skills
Wise London, England Office
London, United Kingdom
