Python Engineer in England

Python Engineer in England

England Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

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

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. 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.

Team & Role

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 & Expertise

  • 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

  • Beyond the technical requirements, we value engineers who:
  • Are 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
  • Are 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 in England employer: Landytech

Landytech is an exceptional employer, offering a dynamic work environment where innovation meets finance. With a strong emphasis on diversity and collaboration, employees benefit from competitive salaries, stock options, and comprehensive health insurance, all while working in a rapidly growing fintech company that values continuous learning and professional development. The hybrid work model and vibrant office culture in London foster a supportive atmosphere for both early-career and seasoned engineers to thrive.
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Contact Detail:

Landytech Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Python Engineer in England

✨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 what you can do beyond just a CV.

✨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 solve problems.

✨Tip Number 4

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 in England

Python
Object-Oriented Programming
Data Structures
Algorithms
Software Design Principles
Relational Databases
Database Design
Unit Testing
Integration Testing
API Development
Data Pipelines
ETL Processes
Modern Data Processing Libraries
Analytical Mindset
Attention to Detail

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Python Engineer role. Highlight your knowledge of Python, data structures, and any relevant projects you've worked on. We want to see how you can contribute to our mission!

Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for fintech. Share why you're excited about the role and how your background aligns with our goals at Landytech. Keep it concise but engaging!

Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing practical applications of your skills, especially in building APIs or handling financial data. It gives us a glimpse of what you can bring to the team!

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 genuinely interested in joining our growing team at Landytech!

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 object-oriented programming and any projects you've worked on that involved building APIs or data pipelines. The more specific examples you can provide, the better!

✨Understand Financial Concepts

Since Landytech operates in the fintech space, having a grasp of basic financial concepts will set you apart. Familiarise yourself with key metrics and how they impact investment decisions. This knowledge will show your enthusiasm for the role and help you connect with the team.

✨Prepare for Technical Questions

Expect to face technical questions that test your understanding of data structures, algorithms, and software design principles. Practise coding problems and be ready to explain your thought process. This will demonstrate your analytical mindset and problem-solving skills.

✨Show Your Collaborative Spirit

Landytech values teamwork, so be prepared to discuss how you've collaborated with others in past projects. Share examples of how you've contributed to code reviews or worked with stakeholders to deliver solutions. Highlighting your ability to work well in a team will resonate with their culture.

Python Engineer in England
Landytech
Location: England

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