Python Developer

Burns Sheehan Limited; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Burns Sheehan Limited in Greater London is seeking a Senior Python Backend Developer to help scale a fast-growing platform after securing new client wins. You’ll focus on core backend services and APIs, and work with data-heavy pipelines and calculation engines.

In a small team, you’ll own features and components, help shape architecture, and contribute to testing, observability and continuous delivery.

Qualifications

• Strong backend development experience in production systems.
• Proficient with Python and web frameworks.
• Experience with data-heavy pipelines and computation engines.

Responsibilities

• Build and maintain core Python backend services and APIs.
• Work with Django/Flask to deliver scalable applications.
• Design and optimize data pipelines and processing workflows.
• Improve architecture, testing, observability and CD processes.

Skills

Python

Data-heavy backend

API design

Tools

Django

Flask

Pandas

Airflow

Job description

A growing engineering team is looking for a Senior Python Backend Developer to join as the platform continues to scale following a number of new client wins.

They’re looking for a strong software engineer first, someone who enjoys building backend applications and APIs, but is equally comfortable working with data-heavy systems, pipelines and calculation engines.

The successful engineer will join a small team where there is plenty of opportunity to influence how things are built. Initially, they’ll get hands-on with the existing platform before taking increasing ownership of features and technical components.

They’ll be working across:

• Core Python backend services and APIs
• Django and Flask applications
• Pandas and data-processing workflows
• Data pipelines and calculation engines
• Performance, scalability and reliability
• Architecture, testing, observability and continuous delivery

The team is also looking to improve its approach to data orchestration, so experience with Airflow, ETL or similar tooling would be particularly useful.

This isn’t a pure Data Engineering or Big Data role. The sweet spot is a strong generalist Python engineer who has built production software and is comfortable solving data-heavy backend problems.

They’d ideally like someone who has worked within a startup or scale-up environment, enjoys ownership and is comfortable operating without layers of product or management around them.

There is also scope over time to take on broader technical ownership, planning or people leadership.

Interested, or know someone who could be a good fit? Drop me a message.