Senior Revenue Engineer
SKILLS
FULL DESCRIPTION
Senior Revenue Engineer
[Employer hidden — sign up to reveal], including brands like EasyPark, Flowbird, RingGo, ParkMobile and Parkopedia, is a leading global mobility platform. This role is within the YourParkingSpace business, based in London (SE1) with hybrid working: 3 days in office, 2 days from home per week.
The Role
As a Senior Revenue Engineer in our YourParkingSpace business, you'll play a key role in building the infrastructure and systems that power pricing and revenue optimisation across our platform. This role sits at the intersection of backend engineering, data engineering, and pricing systems. You will design and build scalable services, pipelines, and APIs that enable pricing logic, experimentation, and automation across our marketplace. You will work closely with Pricing, Data, Product, and Engineering teams to productionise pricing models and ensure pricing systems are reliable, observable, and built to scale.
How to make an impact
- Design and build scalable pricing infrastructure, including pricing engines, rule frameworks, and supporting APIs.
- Build and maintain data pipelines and operational data models that power pricing logic, experimentation, and analytics.
- Develop systems for capturing, processing, and serving pricing data across internal and external platforms.
- Work closely with Pricing/Data Scientist to productionise machine learning models, including feature pipelines, deployment workflows, and monitoring.
- Ensure pricing systems are reliable, observable, and fully automated, with strong CI/CD, testing, and monitoring practices.
- Implement scalable solutions that avoid technical debt and support long-term platform architecture.
Your background
- 5+ years of backend engineering experience building production systems, ideally in marketplaces, platforms, or pricing-driven environments.
- Expertise in PHP and the Laravel ecosystem, with a focus on building secure, performant backend services for complex pricing or logic-heavy applications.
- Strong Python and SQL skills, with experience building data pipelines, backend services, and operational data models.
- Experience designing scalable APIs and data capture systems that support configuration-driven or rule-based logic.
- Experience productionising machine learning models in collaboration with Data Science teams (feature pipelines, deployment, monitoring, retraining workflows).
- Strong understanding of cloud infrastructure, CI/CD pipelines, and automated testing.
- Experience building revenue-critical systems with strong observability and monitoring.
- Ability to take a first-principles approach to system design, thinking deeply about architecture, scalability, and long-term maintainability.
Nice to haves
- Experience building pricing engines, experimentation platforms, or optimisation systems.
- Experience working with marketplace or dynamic pricing environments.
- Familiarity with modern data stacks and orchestration tools.
About [Employer hidden — sign up to reveal]
[Employer hidden — sign up to reveal], including brands like EasyPark, Flowbird, RingGo, ParkMobile and Parkopedia, is a leading global mobility platform. Present in over 90 countries and 20,000 cities, the company helps people and decision-makers make smarter decisions about urban mobility and ease the experience of travel worldwide. [Employer hidden — sign up to reveal] delivers a unique combination of the core ingredients to make cities more livable: from smart payments and optimized car parks to data-driven traffic reduction and support for reinvestment in public transport and green space.
Apply
Apply for this job via the [Employer hidden — sign up to reveal].com portal.