Staff Python Engineer (Hybrid, London, UK)

Parkopedia
London, UK
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Apache HTTP Server Application Performance Management Code Review Data Control Data Integrity Dataspaces Linux Distributed Computing Environment Python (Programming Language)
+9 more
Machine Learning NumPy Pair Programming Software Engineering Pandas Low Latency Data Management Software Coding Docker

Job description

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 youYou are a collaborative engineering leader who takes pride in

Requirements

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.RequirementsExtensive 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.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. #J-18808-Ljbffr

About the company

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

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