Senior Software Engineer - Marketing Platform

About 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