Senior Software Engineer - Marketing Platform

We're looking for a Senior Backend Engineer to build and scale Wise's price comparison platform. Comparison is about transparency 013 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.

Responsibilities

• Build the backbone: backend systems and APIs that power Wise 019s comparison experiences.
• Make scrapers feel 22magical 22: 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.

Requirements

• 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.

What you 019ll do

• Build the backbone: backend systems and APIs that power Wise 019s comparison experiences.
• Make scrapers feel 22magical 22: 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.

Qualifications

• 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