Senior Python Engineer (Data)

Senior Python Engineer (Data)

Full-Time 63000 - 77000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Build robust backend systems for machine learning products that transform urban mobility.
  • Company: Join Arrive, a global leader in smart urban mobility solutions.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on continuous improvement and innovation.
  • Why this job: Make a real impact on how millions navigate cities with innovative tech.
  • Qualifications: Extensive Python experience and strong AWS knowledge required.

The predicted salary is between 63000 - 77000 £ per year.

We've signed up to an ambitious journey. Join us! As Arrive, we guide customers and communities towards brighter futures and more livable cities. Our people and our values help us make it happen. We Arrive Curious, Focused and Together. Our values guide us and help us be at our best for our customers, the cities and communities we serve, and for ourselves. As a global team, we are transforming urban mobility. Let's grow better, together.

The Role

As a Senior Python Engineer, you will join our Data Science Products team to build robust backend systems and infrastructure for our machine learning products. This team ingests billions of complex sensor data points daily to produce advanced 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 role will be focused on designing, building, and operating data-intensive applications and infrastructure that ensure our data products are fast, reliable, and scalable. You will take ownership of our data ingestion service and work closely with other engineers and data scientists in a supportive environment.

How to make an impact

  • Deliver high-performance APIs with a focus on speed and reliability, utilizing FastAPI to serve machine learning insights.
  • Deploy and manage cloud-native services using strong AWS knowledge and Infrastructure as Code (IaC) principles.
  • Leverage Kafka to deliver near real-time data to our machine learning models, other teams, or directly to customers.
  • Use AI throughout the software development lifecycle while ensuring systems remain reliable and maintainable.
  • Implement robust testing frameworks and system designs to maintain high code quality and service reliability.
  • Enhance the observability and performance monitoring of our production services and platform.

About you

You are a highly technical and collaborative engineer who enjoys solving complex challenges. You ensure that systems are well designed and that code is not just tested but easily testable, while remaining pragmatic about delivery. With a growth mindset, you look for ways to improve system efficiency and are eager to share your expertise in software best practices with a multidisciplinary team. You thrive when given the autonomy to own services from design through to production.

Your background

  • Extensive professional experience in Python backend development, including building and maintaining highly available backend services (FastAPI preferred) at scale.
  • Proven ability to design, build, and maintain data-intensive applications and infrastructure.
  • Deep understanding of AWS services and hands-on experience with Infrastructure as Code (such as AWS CDK, Terraform or Pulumi) and containerization (Docker and AWS ECS/Kubernetes).
  • Experience with Kafka.
  • Experience working alongside data scientists in the 'PyData' ecosystem (Numpy, Pandas) is desirable.
  • Familiarity with some of the other tools in our stack is desirable: Redis, Postgres, Airflow, Spark.

This is a hybrid role based in London, UK.

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.

Senior Python Engineer (Data) employer: Arrive

At Arrive, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. As a Senior Backend Engineer, you will not only have the opportunity to work on impactful projects that drive revenue growth but also benefit from our commitment to employee development through continuous learning and mentorship. Located in a vibrant tech hub, we offer competitive benefits and a supportive environment that values your contributions and promotes work-life balance.

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Contact Details:

Arrive Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Python Engineer (Data)

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Arrive or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Arrive.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Arrive.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Arrive that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Senior Python Engineer (Data)

Python Backend Development
FastAPI
AWS Services
Infrastructure as Code (IaC)
Kafka
Docker
AWS ECS

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Arrive.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Arrive and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Arrive

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Arrive uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.