Staff Software Engineer, Data

🕒 March 31

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Arrive

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🚗 Transport

☁️ SaaS

🤝 B2B

Transport • SaaS • B2B

Arrive is a leading global mobility platform that helps cities, businesses, and drivers optimize urban movement. The company combines parking payment solutions, data and analytics, in-car integrations, and policy and transport services to reduce congestion, improve parking utilization, and support public transport and urban planning. Operating multiple well-known mobility brands (EasyPark, Flowbird, ParkMobile, Parkopedia, RingGo, YourParkingSpace) across 90+ countries and 20,000 cities, Arrive delivers SaaS products and B2B solutions focused on payments, data-driven traffic reduction, and scalable urban mobility technology.

📋 Description

• Architect and Implement: Own the technical roadmap for our Spark-based data processes to ensure our Airflow pipelines are performant, cost-effective, and scalable. • 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. • Modernize Infrastructure: Evolve our infrastructure-as-code (AWS) and CI/CD pipelines to keep up with cutting-edge approaches. • 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.

🎯 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. • 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

• 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.