Backend Software Engineer (Python)

The Emerald Group

Greater London, UK

1 day ago

Apply on www.collegerecruiter.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Unit Testing C Sharp (Programming Language) Software as a Service Cloud Computing Continuous Integration Data Files Python (Programming Language) Object-Oriented Software Development Software Engineering Data Ingestion Parallel Computation Backend

+1 more

Azure Service Fabric

Job description

Join a team developing a SaaS platform used to assess over £200bn of non-life insurance business. This is a mid-level software engineering role focused on production-grade Python development rather than research or one-off analysis. Hybrid role based in London (2 days per week in office)

You will work in a team of 15, collaborating with C# developers and actuarial data scientists to deliver scalable features.

The role

Technical Challenge: Take ownership of performance bottlenecks involving 4GB+ datasets.
Cloud Infrastructure: Utilize Azure PaaS tools including Functions, Batch, Blob/Table Storage, and CosmosDB.
Integration: Work on the integration and restructuring of Python and C# codebases to improve cohesion.
Standards: Apply software engineering best practices including OOP, unit testing, and CI/CD.

To be successful in this role, you must demonstrate specific experience in:

Large Dataset Management: A track record of handling GB-scale data (4GB+) and addressing performance via vectorisation, parallelism, or memory optimisation.
Advanced Python Logic: Writing modular, production-quality code using classes/functions and addressing bottlenecks via chunking or asynchronous processing.
Analytical Pipelines: Building end-to-end pipelines that handle data ingestion, transformation, and modelling.
C# literacy: Ability to read and understand C# - not necessary to write, but understanding of cohesion between Python & C# is desirable.

Requirements

Large Dataset Management: A track record of handling GB-scale data (4GB+) and addressing performance via vectorisation, parallelism, or memory optimisation.
Advanced Python Logic: Writing modular, production-quality code using classes/functions and addressing bottlenecks via chunking or asynchronous processing.
Analytical Pipelines: Building end-to-end pipelines that handle data ingestion, transformation, and modelling.
C# literacy: Ability to read and understand C# - not necessary to write, but understanding of cohesion between Python & C# is desirable.