Lead Python Engineer in London

Lead Python Engineer in London

London Full-Time 70000 - 90000 € / year (est.) Home office (partial)
hackajob

At a Glance

  • Tasks: Lead a small team and develop robust data systems using Python and FastAPI.
  • Company: Join Lendable, a fast-growing fintech unicorn transforming credit access.
  • Benefits: Flexible working, health coverage, retirement plans, and social events.
  • Other info: Enjoy a vibrant culture with opportunities for personal and professional growth.
  • Why this job: Make a real impact in a dynamic environment with cutting-edge technology.
  • Qualifications: Expertise in Python, experience with data pipelines, and leadership skills.

The predicted salary is between 70000 - 90000 € per year.

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role.

About Lendable

Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start:

  • One of the UK’s newest unicorns with a team of just over 700 people
  • Among the fastest‑growing tech companies in the UK
  • Profitable since 2017
  • Backed by top investors including Balderton Capital and Goldman Sachs
  • Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)

So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

Join us if you want to take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1. Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo. Build the best technology in‑house, using new data sources, machine learning and AI to make machines do the heavy lifting.

About the Role

We’re looking for a Lead Python Engineer to join our Data Team, where you’ll play a pivotal role in shaping the systems and data infrastructure that power our US products. In this role you’ll balance hands‑on engineering with team leadership — owning the technical direction of your squad, mentoring a small team of 1–2 engineers, and still getting deep into the code yourself. You’ll design and build robust data pipelines, APIs and services that drive real decisions across the business, all while keeping quality and scalability at the forefront. You’ll be a key voice in architectural discussions, helping to define how we build and evolve our data platform as we scale into the US market. No two days look the same here.

Our Tech Stack

Python and FastAPI, deployed via Docker and Kubernetes on AWS, with ArgoCD handling our continuous delivery pipeline.

What We’re Looking For

  • Interest in leading or mentoring a small team of engineers, with the ability to balance hands‑on delivery with team development
  • Deep, modern Python expertise; you write clean, idiomatic, well‑tested code and hold others to the same standard
  • Some experience building and maintaining data pipelines, ETL processes, or data‑intensive backend services
  • Solid understanding of FastAPI or a comparable modern Python web framework
  • Strong automated testing skills across unit, integration, and functional levels
  • Experience working with cloud infrastructure, ideally AWS, and comfortable with Docker and Kubernetes
  • Ability to drive technical decisions and communicate clearly with both engineers and non‑technical stakeholders
  • Experience in a cross‑functional or data‑focused engineering environment is a strong plus
  • Familiarity with US financial products or regulated markets is a bonus, but not essential

Interview Process

  • A quick phone call with one of the team
  • A short coding exercise to complete in your own time
  • Technical Video Interview for 60 minutes – meet the team you’ll work with daily
  • Culture interview for 30 minutes
  • Final Interview

Life at Lendable

  • Winning team: the opportunity to scale up one of the world’s most successful fintech companies
  • Flexible working: flexible approach tailored to each role. Hybrid roles require three days in‑office weekly; fully remote roles include regular opportunities for in‑person connection through socials and off‑sites
  • Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls
  • Health coverage: support for your physical and mental wellbeing, including private health cover
  • Retirement & savings: long‑term financial wellbeing through retirement savings plans
  • Employee referral programme: earn a competitive bonus when you refer successful new team members
  • Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in‑house chefs on in‑office days at select locations
  • Sustainable commuting: cycle‑to‑work and electric vehicle salary sacrifice schemes available in select locations

Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

Lead Python Engineer in London employer: hackajob

Lendable is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to make impactful decisions from day one. With a strong focus on employee growth, flexible working arrangements, and comprehensive health and retirement benefits, Lendable fosters a culture of collaboration and support, making it an ideal place for professionals looking to advance their careers in the fast-paced fintech industry.

hackajob

Contact Detail:

hackajob Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Python Engineer in London

Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A personal connection can often get you a foot in the door faster than any application.

Tip Number 2

Prepare for those interviews! Research Lendable and their tech stack, especially Python and FastAPI. Show them you’re not just another candidate; you’re genuinely interested in what they do.

Tip Number 3

Practice coding challenges! Brush up on your Python skills and tackle some coding exercises. This will help you feel more confident during the technical interview.

Tip Number 4

Don’t forget to follow up! After your interviews, send a quick thank-you note. It shows your enthusiasm and keeps you fresh in their minds as they make decisions.

We think you need these skills to ace Lead Python Engineer in London

Python
FastAPI
Docker
Kubernetes
AWS
Data Pipeline Development
ETL Processes

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Lead Python Engineer role. Highlight your experience with Python, FastAPI, and any relevant data pipeline work. We want to see how your skills align with what Lendable is looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for fintech and how you can contribute to Lendable's mission. We love seeing candidates who can connect their personal goals with our company values.

Show Off Your Projects:If you've worked on any cool projects or have a GitHub profile, don’t forget to include that! We’re keen to see your coding style and problem-solving skills in action. It’s a great way to demonstrate your hands-on experience.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're serious about joining the team!

How to prepare for a job interview at hackajob

Know Your Tech Stack

Make sure you’re well-versed in Python, FastAPI, Docker, and AWS. Brush up on your knowledge of data pipelines and ETL processes, as these will be crucial in your role. Being able to discuss your experience with these technologies confidently will show that you're ready to hit the ground running.

Showcase Your Leadership Skills

Since this role involves mentoring a small team, be prepared to discuss your leadership style and any previous experiences where you've guided others. Share specific examples of how you've balanced hands-on coding with team development to demonstrate your ability to lead effectively.

Prepare for Technical Discussions

Expect to engage in architectural discussions during the interview. Familiarise yourself with common design patterns and best practices in building scalable systems. Be ready to articulate your thought process and decision-making when it comes to technical challenges.

Understand the Company Culture

Lendable values a collaborative and resourceful environment. Research their mission and values, and think about how your personal work ethic aligns with theirs. During the culture interview, share how you can contribute to their winning team and fit into their flexible working approach.