Staff Python Engineer (Data)
Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Aug 27, 2026. Arrive scores A on the Alion truth index.
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.
If this resonates with you, hit the apply button!
About Arrive
Arrive, 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. Arrive 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. It’s about more than function, it’s about saving time and simplifying the experience of travel for everyone. Travel is more than a journey, it’s how you Arrive.