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.