Wise
Senior Software Engineer - Marketing Platform

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Senior Software Engineer - Marketing Platform
Senior Backend Engineer – Price Comparison Platform
Company Description
Wise is a global technology company building the best way to create the world’s money.
Min fees. Max ease. Full speed.
Whether people and businesses are sending money abroad, spending internationally, or making receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will help create an entirely new network for the world's money. For everyone, everywhere.
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 while 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’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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
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
- Embedded into the team, understood our goals and how your work connects to measurable outcomes.
- Shipped production features end-to-end and monitored their impact after release.
- Contributed to planning cycles and proposed improvements to take our comparison product further.
- Built confidence in Wise’s domain and engineering practices, helping improve how the team works.
Benefits
- 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


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Compensation: GBP 87,500 – GBP 111,000 – yearly <br> Qualifications (Qualifying Criteria RepeatSummary)
- 5+ years of experience in Java or Kotlin (or other JVM-based language)
- Strong experience with the Spring framework, relational databases, distributed, and concurrent systems (Kafka)
- 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 expectation.
- You enjoy writing testable code and have experience with testing strategies, such as unit testing and integration testing.
- Believe in and follow best coding practices, code reviews, and open feedback.
- Great communication skills to articulate complex, technical concepts to a non-technical audience.
- Strive to improve our team culture and processes.
- A strong product mindset and passion for customer experience; prioritise work with the customer in mind and make data-driven decisions to fix customer pain points.
- Ability to work independently on customer problems – taking responsibility/end-to-end ownership of your projects. Drive and own them to ensure goals are hit.
About Us
For everyone, everywhere. We’re people building money without borders—without judgement or prejudice, too. We believe that 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 ensure every Wiser feels respected, empowered to contribute to 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.
Follow us on LinkedIn and Instagram to stay up to date with life at Wise.
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