Python Engineer

Python Engineer

London Full-Time 42000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a dynamic team as a Mid-Level Python Engineer, working on innovative mortgage solutions.
  • Company: Be part of a fast-growing tech-enabled brand revolutionising the mortgage industry.
  • Benefits: Enjoy a salary up to £70,000, bonuses, share schemes, and 30 days holiday.
  • Why this job: Make a real impact in a collaborative environment where your ideas are valued.
  • Qualifications: Solid Python and Django experience; familiarity with FastAPI, AWS, or Docker is a plus.
  • Other info: Remote-first culture with monthly meet-ups in London for team bonding.

The predicted salary is between 42000 - 84000 £ per year.

Job Description

Mid-Level Python Engineer – Tech-Enabled Mortgage Scale-UpRemote-first | Monthly meet-ups in LondonUp to £70,000 + Bonus + Share Scheme + 30 Days Holiday + Health Cash Plan

A fast-growing, tech-enabled brand in the mortgage space is scaling up and looking for a Mid-Level Python Engineer to join their lean, high-performing tech team (currently five strong). With just over 60 employees, every hire is a strategic one—and they’re raising the bar with each new addition.

This is a fantastic opportunity to join a flat-structured, collaborative environment where your ideas matter and your growth is supported. You’ll be working on meaningful products that simplify and modernise the mortgage experience.

? What You’ll Bring:

  • Solid experience with Python and Django

  • Exposure to FastAPI, AWS, or Docker is a plus

  • Analytical mindset with a solution-driven approach

  • Eagerness to learn and expand your skill set

  • Interest in AI and its practical applications is desirable

  • Background in mortgage or financial services is a bonus

What’s on Offer:

  • Salary up to £70,000

  • Bonus + Share Scheme

  • 30 days holiday + Bank Holidays

  • Health Cash Plan

  • Remote-first culture with monthly London meet-ups for collaboration and team building

  • A chance to make a real impact in a growing business with a clear mission

If you’re excited by the idea of joining a scale-up where your voice is heard and your skills are valued—apply now or reach out for more info.

Python Engineer employer: Xpertise Recruitment Ltd

Join a dynamic and innovative tech-enabled mortgage scale-up that prioritises employee growth and collaboration. With a remote-first culture complemented by monthly meet-ups in London, you will thrive in a flat-structured environment where your contributions are valued and impactful. Enjoy competitive benefits including a generous salary, bonus, share scheme, and 30 days of holiday, all while working on meaningful projects that modernise the mortgage experience.
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Contact Detail:

Xpertise Recruitment Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Python Engineer

✨Tip Number 1

Familiarise yourself with the company's tech stack, especially Python and Django. Being able to discuss specific projects or features you've worked on using these technologies will show your genuine interest and expertise.

✨Tip Number 2

Engage with the company on social media platforms like LinkedIn. Comment on their posts or share relevant content that showcases your knowledge in Python or the mortgage industry, which can help you stand out.

✨Tip Number 3

Network with current or former employees of the company. Reach out for informational interviews to gain insights about the team culture and expectations, which can help you tailor your approach during the interview process.

✨Tip Number 4

Prepare to discuss your analytical mindset and problem-solving skills. Think of examples where you've tackled challenges in previous roles, particularly those related to Python development, as this aligns with what they're looking for.

We think you need these skills to ace Python Engineer

Proficiency in Python
Experience with Django
Familiarity with FastAPI
Knowledge of AWS
Understanding of Docker
Analytical Mindset
Problem-Solving Skills
Eagerness to Learn
Interest in AI Applications
Background in Financial Services or Mortgage Industry
Collaboration Skills
Adaptability
Attention to Detail

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Python and Django, as well as any exposure to FastAPI, AWS, or Docker. Use specific examples of projects you've worked on that demonstrate your analytical mindset and solution-driven approach.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your eagerness to learn and expand your skill set, and how your background aligns with their mission in the mortgage space.

Showcase Relevant Skills: If you have experience in AI or financial services, be sure to include this in your application. Highlight how these skills can contribute to the company's goals and the products they are developing.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.

How to prepare for a job interview at Xpertise Recruitment Ltd

✨Showcase Your Python Skills

Make sure to highlight your experience with Python and Django during the interview. Be prepared to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will demonstrate your technical proficiency and problem-solving abilities.

✨Familiarise Yourself with Relevant Technologies

Since the role mentions FastAPI, AWS, and Docker, it’s a good idea to brush up on these technologies. Even if you don’t have extensive experience, showing that you understand their applications and benefits can set you apart from other candidates.

✨Demonstrate Your Analytical Mindset

Prepare to discuss how you approach problem-solving and analysis. Use examples from your past work to illustrate your analytical mindset and solution-driven approach. This will resonate well with the company's focus on meaningful products.

✨Express Your Eagerness to Learn

The company values growth and learning, so be sure to convey your enthusiasm for expanding your skill set. Discuss any recent courses, certifications, or personal projects that showcase your commitment to continuous improvement, especially in areas like AI.

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