At a Glance
- Tasks: Lead the design of data pipelines and mentor junior engineers in a dynamic fintech team.
- Company: Join Lendable, a thriving fintech company in Greater London.
- Benefits: Enjoy flexible working, health coverage, and social opportunities.
- Other info: Great career growth potential in a supportive and innovative workplace.
- Why this job: Make an impact in a fast-paced environment while developing your leadership skills.
- Qualifications: Deep Python expertise and experience with cloud infrastructure, preferably AWS.
The predicted salary is between 70000 - 90000 £ per year.
Lendable in Greater London is seeking a Lead Python Engineer to join the Data Team. You will balance hands-on engineering with leadership duties, mentoring 1-2 engineers while designing robust data pipelines, APIs, and services.
The ideal candidate has deep Python expertise, experience with data-intensive backend services, and familiarity with cloud infrastructure, preferably AWS.
The role offers flexibility, health coverage, and opportunities for social connection within a successful fintech environment.
Lead Python Engineer - Data Platform & Pipelines in London employer: Lendable
Contact Detail:
Lendable Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Python Engineer - Data Platform & Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Lead Python Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving data pipelines and APIs. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python knowledge and cloud infrastructure experience. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and get noticed. Plus, it shows you're genuinely interested in joining our team at Lendable.
We think you need these skills to ace Lead Python Engineer - Data Platform & Pipelines in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your deep Python expertise in your application. We want to see how you've used Python in data-intensive backend services, so share specific examples that showcase your skills.
Talk About Your Leadership Experience: Since this role involves mentoring 1-2 engineers, it's important to mention any leadership experience you have. Tell us about times you've guided others or led projects, as we value collaboration and growth.
Demonstrate Your Cloud Knowledge: Familiarity with cloud infrastructure, especially AWS, is a big plus for us. If you've worked with cloud services, be sure to include that in your application. We love seeing how candidates leverage technology to build robust solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Lendable
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss your experience with data-intensive backend services and showcase any projects you've worked on that highlight your expertise in Python.
✨Showcase Your Leadership Skills
Since this role involves mentoring engineers, think of examples where you've successfully led a team or guided others. Be ready to share how you approach leadership and what strategies you use to support your team’s growth.
✨Familiarise Yourself with AWS
As familiarity with cloud infrastructure, especially AWS, is preferred, make sure you can discuss your experience with it. Prepare to talk about specific services you've used and how they relate to building robust data pipelines.
✨Engage with the Company Culture
Lendable values social connection, so don’t hesitate to express your enthusiasm for their culture. Research their work environment and be ready to discuss how you can contribute to a positive team dynamic.