Parkopedia

Parkopedia, a leading connected car services provider, seeks a Staff Python Engineer to lead data science products within Arrive. You will design scalable data services, influence architecture, and partner with data scientists to deploy real time predictions for parking availability and routes. You will modernize AWS infrastructure, define engineering standards, and drive AI practices across the SDLC, ensuring reliable, maintainable systems for millions of drivers.

We've signed up to an ambitious journey. Join us! As Arrive, we guide customers and communities towards brighter futures and more livable cities, it isn't a challenge just anyone could take on. Luckily, we have something to help us make it happen. Our people and our values. We Arrive Curious, Focused and Together. Just as our entire brand is inspired by the North Star, the shining light leading travelers to their destinations since time began, our values guide us. They help us be at our best. For our customers. For the cities and communities we serve. For ourselves. As a global team, we are transforming urban mobility. Let's grow better, together. One of the key brands within the Arrive is Parkopedia. Parkopedia is the world's leading connected car services provider, used by millions of drivers and organisations such as Apple, Here, TomTom, and 20 automotive brands ranging from Audi to Volkswagen. Its mission is to provide the best in-car data and transaction services, to make mobility ecological, efficient and convenient. The Role As a Staff Python Engineer, you will be a technical leader in our Data Science Products team and in the Data, Analytics and AI organisation of Arrive. The Data Science Products team ingests billions of complex sensor data points daily to produce advanced machine learning products that help millions of drivers park or charge electric vehicles. For example, we predict the availability of parking in cities across the world and provide drivers with routes that reduce the time they will spend searching for a space near their destination. This is a software engineering IC role focused on data. We are looking for an expert in Python and distributed systems, who knows how to design, build, and scale data services and architectures. You will influence technical strategy and promote best practices amongst engineers and data scientists. How to make an Impact Architect and Implement: Own the technical roadmap for our Spark based data processes to ensure our Airflow pipelines are performant, cost effective, and scalable. You will enhance our existing services through hands on development and solve any complex performance bottlenecks, concurrency issues, and systemic bugs. Drive Engineering Excellence: Define standards for efficient, testable and reusable Python code across the organisation that ensure our services remain reliable, robust, and easy for other engineers to extend. Bridge Strategy and Execution: Partner with Data Scientists to translate modeling requirements into high performance production services. Your data architectures and pipeline designs will directly affect our real time prediction APIs, so you'll need to design with downstream latency, freshness, and reliability in mind. Modernize Infrastructure: Evolve our infrastructure as code (AWS) and CI/CD pipelines to keep up with cutting edge approaches. You will personally contribute to the automation and observability patterns that allow us to deploy fresh data and production services with high confidence and zero downtime. Advance Data Capabilities: Lead the hands on development of platform enhancements, such as establishing feature stores for machine learning and building automated data monitoring systems to ensure data integrity and model reproducibility. Scale AI Practices: Lead the adoption of AI throughout the software development lifecycle, evolving our internal coding practices while ensuring systems remain reliable and maintainable. About you You are a collaborative engineering leader who takes pride in having a big cross team impact. You relish the strategic challenge of system design while still solving technically complex problems through writing code. You are passionate about building robust systems that solve real world challenges and value the autonomy of leading large technical initiatives. Requirements Extensive history of building and scaling data intensive applications in production, with a track record of leading technical initiatives from conception to deployment. Expert level Python and its data ecosystem (Numpy, Pandas), including designing frameworks for data tasks. Deep understanding of distributed data processing engines like Apache Spark. Ability to reason about the full data lifecycle from ingestion through to real time serving - your system designs will need to meet downstream API performance and data freshness requirements. A strong command of Linux, containers (Docker), and infrastructure as code for cloud deployments (AWS preferred). A passion for elevating engineering standards through pair programming and detailed code reviews to help other engineers grow their technical depth. Benefits You can expect great employment benefits such as: Flexible working - hybrid home and office based opportunities. Paid Leave if you participate in an event for Charity. 25 Days holiday entitlement. An enhanced Workplace Pension Scheme - 5% by Arrive, 3% by you. Private Medical Health Insurance. Fantastic wellbeing programmes, including On site Sports massages, Reiki and Head massages every week. Discounted gym membership. Access to Blue Call, a mental health support platform. Enhanced Maternity and Paternity offering.

We've signed up to an ambitious journey. Join us! As Arrive, we guide customers and communities towards brighter futures and more livable cities, it isn't a challenge just anyone could take on. Luckily, we have something to help us make it happen. Our people and our values. We Arrive Curious, Focused and Together. Just as our entire brand is inspired by the North Star, the shining light leading travelers to their destinations since time began, our values guide us. They help us be at our best. For our customers. For the cities and communities we serve. For ourselves. As a global team, we are transforming urban mobility. Let's grow better, together. The Role As a Senior BackendEngineer focusing on revenue 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'll 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. This is a hands-on engineering role focused on building robust, production-grade systems that support revenue-critical decision making. You'll be helping build the next generation pricing infrastructure powering urban mobility platforms, directly influencing how pricing, supply, and demand interact across our marketplace. Your work will have real, measurable impact on revenue, utilisation, and customer experience - while helping shape the systems that power the future of parking and mobility. 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 7+ 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. Hybrid working role based in our London offices (SE1): 3 Days in the office, 2 days from home per week.

Parkopedia in London (SE1) is seeking a Senior Backend Engineer focusing on revenue for our YourParkingSpace business to build pricing infrastructure powering revenue optimisation across the marketplace. You'll design scalable services, data pipelines, and APIs that drive pricing logic, experiments, and automation. Collaborate with Pricing, Data, Product, and Engineering to productionise models and ensure reliability and scalability.

Parkopedia is seeking a Senior BI Engineer to join their team in London (SE1). In this hybrid role, you'll design and maintain data pipelines and contribute to the data strategy from a technical standpoint. You will partner with stakeholders to understand their data needs and enhance decision-making through high-quality data solutions. The ideal candidate has over 5 years of experience in data engineering and strong technical skills in Python and SQL. This position requires robust communication skills and the ability to explain technical concepts to non-technical audiences while driving business value.

We've signed up to an ambitious journey. Join us! As Arrive, we guide customers and communities towards brighter futures and more livable cities, it isn't a challenge just anyone could take on. Luckily, we have something to help us make it happen. Our people and our values. We Arrive Curious, Focused and Together. Just as our entire brand is inspired by the North Star, the shining light leading travelers to their destinations since time began, our values guide us. They help us be at our best. For our customers. For the cities and communities we serve. For ourselves. As a global team, we are transforming urban mobility. Let's grow better, together. An exciting hybrid working opportunity has arisen for a talented and driven Senior BI Engineer based in our YourParkingSpace business in London (SE1). The Role As a Senior BI Engineer, you'll play a critical role in shaping and driving the data strategy that powers our analytics, products, and commercial decision-making. Beyond building and maintaining robust data infrastructure, you'll act as the bridge between technical delivery and business outcomes, ensuring that our data capabilities are aligned with commercial priorities and that stakeholders across the business can confidently rely on data to inform their decisions. This is a hands on lead level role where you'll own data pipelines end to end, from ingesting raw data from multiple sources to transforming and delivering high-quality, analytics ready datasets. You'll also have an important role in contributing to the data roadmap, working closely with business stakeholders to understand their needs, prioritise work that drives the most value, and communicate progress and trade offs clearly. How to make an impact Design, build, and maintain end to end data pipelines, including ingestion, transformation, and delivery of data to analytics and reporting layers. Own and improve existing data pipelines, ensuring high reliability, performance, and scalability. Set up new pipelines for internal and external data sources, selecting appropriate tools and patterns. Monitor data quality, accuracy, and pipeline health, proactively identifying and resolving issues to ensure high data trust and uptime. Implement best practices for BI engineering, including testing, documentation, version control, and observability. Continuously improve data architecture and workflows to support growing data volumes and evolving business needs. Partner with commercial, product, and operational stakeholders to understand their data needs, translating business questions into well scoped BI engineering work. Help shape and prioritise the BI engineering backlog, balancing technical improvements with high impact business requests. Define and communicate the data scope for new initiatives, providing clear assessments of feasibility, effort, and expected value. Your background 5+ years' experience in a BI / Data engineering role, with at least 2 years operating in a lead or senior capacity where you've influenced priorities beyond your immediate team. Strong Python skills, with experience building ELT/ETL pipelines. Strong SQL skills, with experience building and optimizing complex transformations. Experience developing data pipelines using modern data stack tools (e.g. ELT/ETL frameworks, cloud data warehouses, orchestration tools). A Degree in Computer Science, Engineering, Mathematics, Statistics, Economics or another quantitative field (or equivalent work experience). Solid understanding of data modelling concepts and analytics ready schemas. Demonstrated experience managing relationships with business stakeholders, including scoping data requirements, setting expectations, and delivering against commercial priorities. Commercially minded: you understand how data supports revenue, operations, and strategic goals, and you use that understanding to guide where you invest your effort. Strong communication skills, with the ability to explain technical concepts and trade offs to non-technical audiences. This role is hybrid role based in London (SE1), 3 days in the office per week, 2 days from home.