Engineering Lead Comparison Team (Data Focused)

About the role

We are looking for a talented Engineering Lead to join our Comparison team part of the Onboarding & Scalable Growth squad

Comparison is about transparency helping customers understand the real cost of sending money and why Wise is the better choice. Youll own the systems that collect pricing data from competitors and make it accessible across Wise. That data serves two customers: customer-facing comparison experiences (web pages widget calculator and the public API) and competitive intelligence that helps Marketing Regional and Pricing teams shape their strategy.

This means creating the underlying technology that enables Wise to build intelligent and resilient (self-healing) scrapers at scale (thousands) operating with minimal manual intervention. It also includes building reliable data pipelines and APIs that teams depend on. Accuracy and trust are non-negotiable.

The comparison team is small but growing: full-stack and backend engineers working with Product Analytics Design and Comparison Operations. The work covers the whole stack from data collection pipelines and backend services to the React/ experiences customers see. Were looking for a lead who is comfortable on both sides and is excited by data-heavy products and is driven to build a scalable and reliable data collection framework.

As an Engineering Lead you will:

• Lead coach and mentor the engineers in your team. Youll own their health growth and productivity and grow the team as it scales.

• Work closely with the Product Manager to shape the roadmap and technical vision across our three growth levers: reach (collect pricing in new markets and new products) convert (enhance our comparison web pages widget and calculator) and retain (introduce comparison in the logged-in experience).

• Own the reliability accuracy and scalability of our competitor data platform and the public Comparison API from collection and validation through to how the data is served.

• Own the technical strategy and delivery of our intelligent scraping platform. Architect and scale the core technology that empowers teams to deploy thousands of intelligent self-healing and resilient scrapers minimizing manual maintenance while maximizing data accuracy.

• Push forward how we use AI in our data pipeline for example LLM scrapers automated quality control and AI-assisted ways to fix scrapers. Make sure we adopt it safely measurably and at scale.

• Give feedback on technical designs and help the team make data-driven decisions using experiments and our North Star metric (Comparison-sourced new customers) to decide what to build next.

• Partner across Wise including Marketing Compliance SEO Regional and Pricing teams to establish clear operating models request triage and governance so that comparison data is trusted wherever price proof matters while balancing customer-facing and internal user needs with clear trade-offs.

• Keep an overview of the wider Scalable Growth space and think about engineering as a whole including how other teams can build on our data and tooling.

• Understand the teams systems deeply enough to be hands-on when needed and join the teams on-call rotation for our critical services.

What do you need

We are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more we do want to hear from you!

• A track record of leading coaching and mentoring driven high-performing teams. Experience setting up ways of working that help a team deliver fast while improving reliability and quality.

• A strong product mindset and a passion for UX. You prioritise work with customers in mind and make data-driven decisions to fix customer pain points

• Great communication skills and the ability to explain complex technical concepts to non-technical audiences

• Experience designing and operating scalable resilient systems that handle large amounts of data and traffic with a focus on observability data quality. You can demonstrate how you reduced manual operational work while maintaining reliability and correctness

• The ability to break down complex projects into incremental milestones that deliver customer value especially when youre entering a new product area or market

• Knowledge of and experience with Java and Spring Boot event-driven microservices architectures (for example Kafka) and relational databases

• Experience with or a strong interest in applying LLMs in production: data extraction evaluation and observability and guarding against hallucination

• Hands-on experience designing and operating systems that collect and validate data from changing or unreliable external sources (e.g. web scraping third-party integrations).

• Experience running experiments (A/B testing) and working closely with analysts is a plus

Additional Information :

Interested Find out more:

• How we work a practical guide

• DEI @ Wise

• Wise Tech Stack (2025 update)

• Our Engineering career map

• Wise Engineering do we offer:

  • Starting salary: 105000 - 135000 RSUs

  • Wise Benefits

  #LI-Hybrid

  For everyone everywhere. Were people building money without borders  without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

  Were 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 its like to work at Wise visit .

  Keep up to date with life at Wise by following us on LinkedIn and Instagram.

  
  

  Remote Work :

  No

  
  

  Employment Type :

  Full-time