At a Glance
- Tasks: Lead a small team and develop robust data systems for innovative fintech products.
- Company: Join Lendable, a fast-growing fintech unicorn transforming credit access.
- Benefits: Flexible working, health coverage, office meals, and competitive bonuses.
- Other info: Enjoy a vibrant culture with regular social events and excellent career 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 80000 - 100000 € 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 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 coverage, 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.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Python Engineer
✨Tip Number 1
Get your networking game on! Connect with folks in the fintech space, especially those at Lendable. Use LinkedIn to reach out and engage with their posts. A friendly message can go a long way!
✨Tip Number 2
Prepare for those technical interviews by brushing up on Python and FastAPI. Work on some coding challenges that mimic real-world problems you might face at Lendable. Show them you can not only talk the talk but also walk the walk!
✨Tip Number 3
Don’t underestimate the power of a good follow-up! After your interviews, drop a quick thank-you note to express your appreciation. It keeps you fresh in their minds and shows your enthusiasm for the role.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at Lendable. Let’s get you that Lead Python Engineer role!
We think you need these skills to ace Lead Python Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for 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 we're looking for!
Show Off Your Projects:If you've worked on any cool projects or have a GitHub profile, don’t forget to include them! We love seeing practical examples of your coding skills and how you tackle real-world problems.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at Lendable!
How to prepare for a job interview at hackajob
✨Know Your Tech Stack
Make sure you’re well-versed in Python, FastAPI, Docker, and Kubernetes. Brush up on your knowledge of AWS as well, since you'll be working with cloud infrastructure. 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 you've had in guiding others. Think of specific examples where you’ve helped team members grow or made impactful decisions that benefited your squad.
✨Prepare for Technical Discussions
Expect to dive deep into architectural discussions during your interview. Familiarise yourself with data pipelines, ETL processes, and how they relate to the financial products Lendable offers. Being able to articulate your thought process and decision-making will impress the interviewers.
✨Practice Coding Exercises
Before your technical video interview, complete the coding exercise thoroughly. Practice similar problems to sharpen your skills. This will not only help you feel more confident but also demonstrate your problem-solving abilities and coding proficiency during the interview.
