Python Engineer - B2B SaaS Fintech
Python Engineer - B2B SaaS Fintech

Python Engineer - B2B SaaS Fintech

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build and maintain Python services that transform financial data for clients worldwide.
  • Company: Join a rapidly growing fintech revolutionising investment reporting with a diverse team.
  • Benefits: Enjoy competitive salary, stock options, private medical insurance, and flexible work options.
  • Why this job: Make a real impact in finance while developing your skills in a dynamic environment.
  • Qualifications: Strong Python knowledge and a passion for learning in a collaborative team.
  • Other info: Exciting career growth opportunities in a fast-paced, innovative company.

The predicted salary is between 36000 - 60000 £ per year.

Landytech is on a mission to revolutionise the way that investment managers, asset owners and their advisors access asset information. Powered by Sesame, an industry-leading investment reporting platform, we are helping clients in over 15 countries make informed investment decisions and deliver insights faster. The company is growing rapidly and it’s an exciting time to join, having secured $12M in Series B funding in January 2023. In just four years, it has gone from two co-founders to a team of 100+ staff, with offices in London and Paris. At Landytech, we see diversity as our strength with a team from over 15 countries and 14 languages spoken.

We’re seeking a talented Software Engineer to join our team. You’ll build and maintain services and tools (written primarily in Python) that process and publish financial metrics, directly impacting how our customers access and utilise critical financial data. This is an excellent opportunity for engineers with strong fundamentals to develop their expertise in a finance-focused environment using modern technologies. We welcome candidates at all experience levels - whether you’re early in your career and eager to learn, or a seasoned engineer seeking hands-on technical work in the fintech domain.

Key Responsibilities
  • Develop and maintain robust APIs for processing and publishing financial metrics
  • Write clean, efficient, and well-documented code
  • Collaborate with the team to design scalable solutions for financial data pipelines
  • Participate in code reviews and contribute to engineering best practices
  • Debug and optimise existing systems for performance and reliability
  • Work closely with stakeholders to understand requirements and deliver solutions
Your Skills
  • Solid understanding of data structures, algorithms, and software design principles
  • Good knowledge of Python and object-oriented programming principles
  • Understanding of relational databases and database design fundamentals
  • Familiarity with unit testing and integration testing practices
  • Comfortable working collaboratively in a team environment
Nice to have
  • Experience with low-level programming languages (Rust, C++)
  • Financial domain knowledge: understanding of financial concepts, metrics, or fintech/finance experience
  • Experience building data pipelines, ETL processes, or handling large-scale data
  • Familiarity with modern data processing libraries (NumPy, Polars, DuckDB)
What we’re looking for
  • Self-motivated and eager to learn and expand their skills
  • Possess an analytical mindset with strong attention to detail
  • Take pride in writing maintainable, well-tested code
  • Excited about working at the intersection of technology and finance
  • Bring fresh perspectives and ideas to the team
Our Benefits
  • An opportunity to work in a fast-growing fintech revolutionising investment reporting
  • Hybrid style of work/WFH allowed depending on role
  • Competitive salary stock options package
  • Private medical insurance with Bupa for you and your family members
  • Life insurance option
  • Pension Plan with NEST
  • Cycle to Work Scheme and gym allowance
  • Office food drinks, regular socials

If this sounds like a match to you, we are looking forward to receiving your application!

Python Engineer - B2B SaaS Fintech employer: Landytech

Landytech is an exceptional employer, offering a dynamic work environment where innovation meets finance. With a commitment to employee growth and a diverse team from over 15 countries, we provide ample opportunities for professional development in a rapidly expanding fintech landscape. Our hybrid work model, competitive benefits, and focus on collaboration make Landytech a rewarding place to build your career.
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Contact Detail:

Landytech Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Python Engineer - B2B SaaS Fintech

✨Tip Number 1

Network like a pro! Reach out to people in the fintech space, especially those at Landytech. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

✨Tip Number 2

Show off your skills! If you’ve got a GitHub or portfolio, make sure it’s up to date with your best Python projects. This is your chance to demonstrate your coding chops and problem-solving abilities.

✨Tip Number 3

Prepare for the technical interview! Brush up on your data structures and algorithms, and be ready to discuss your past projects. We want to see how you think and approach problems, so practice explaining your thought process.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.

We think you need these skills to ace Python Engineer - B2B SaaS Fintech

Python
Object-Oriented Programming
Data Structures
Algorithms
Software Design Principles
Relational Databases
Database Design
Unit Testing
Integration Testing
Collaboration
Financial Domain Knowledge
Data Pipelines
ETL Processes
Modern Data Processing Libraries

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python expertise and any relevant fintech experience to catch our eye!

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role at Landytech. Share your passion for technology and finance, and how you can contribute to our mission.

Showcase Your Projects: If you've worked on any projects related to APIs, data processing, or financial metrics, make sure to mention them! We love seeing practical examples of your work.

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’re considered for the role!

How to prepare for a job interview at Landytech

✨Know Your Python Inside Out

Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python, especially in building APIs and handling data. Practise coding challenges that focus on algorithms and data structures, as these are likely to come up.

✨Understand Financial Concepts

Since this role is in fintech, having a grasp of financial metrics and concepts will set you apart. Familiarise yourself with common terms and practices in the finance world. This knowledge will not only help you answer questions but also show your genuine interest in the industry.

✨Prepare for Collaborative Questions

Expect questions about teamwork and collaboration, as this role involves working closely with stakeholders. Think of examples from your past experiences where you successfully collaborated on projects or resolved conflicts within a team.

✨Show Your Eagerness to Learn

Landytech values self-motivated individuals who are keen to learn. Be prepared to discuss how you've expanded your skills in the past and express your enthusiasm for growing within the fintech space. Highlight any relevant courses or projects that demonstrate your commitment to continuous learning.

Python Engineer - B2B SaaS Fintech
Landytech
Location: London
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  • Python Engineer - B2B SaaS Fintech

    London
    Full-Time
    36000 - 60000 £ / year (est.)
  • L

    Landytech

    50-100
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