Staff Software Engineer (Data)

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 Software 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 techni