{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Lead Python Engineer – AI & Data”, “description”: “
We’re working with a leading consulting firm on a long‑term engagement with a major financial services client. They are looking for a Lead Python Engineer to set the engineering bar across several Python services while remaining highly hands‑on.
The opportunity
You will:
- Lead the design and development of Python‑based services and REST APIs (Django or similar) used across multiple AI and data use cases.
- Own and manage the code repository: structure, branching strategy, pull requests, code reviews and refactoring standards.
- Implement and enforce software development best practices – CI/CD, automated testing (unit and integration), static checks and quality gates.
- Drive a focus on code simplicity, performance and maintainability, continuously improving the codebase through regular refactoring.
- Work in a full‑stack environment: Python/Django on the backend, templates or light front‑end integration where needed, running in containers (Docker/Kubernetes) with DevOps support.
- Mentor and upskill other developers (including offshore team members), providing clear feedback and helping to embed consistent ways of working across pods.
What we’re looking for
Must have
- Advanced Python experience building production systems and APIs (Django or comparable framework).
- Demonstrable experience owning a codebase: repository management, branching/PR workflows, code reviews and refactoring.
- Strong grasp of engineering best practice: CI/CD pipelines, automated testing, monitoring and documentation.
- Experience working in a containerised environment (Docker; Kubernetes strongly preferred).
Should have
- Exposure to front‑end integration (Django templates or similar) and an understanding of how the full stack hangs together.
- Experience in financial services or consulting environments.
- Previous responsibility for mentoring or leading developers within a team.
Details
- Location: UK‑based, hybrid working with onshore and offshore teams.
- Contract: 3–12 months, with potential to extend.
Company: RAW Search
Location: London
Job Description:
We’re working with a leading consulting firm on a long‑term engagement with a major financial services client. They are looking for a Lead Python Engineer to set the engineering bar across several Python services while remaining highly hands‑on.
The opportunity
You will:
- Lead the design and development of Python‑based services and REST APIs (Django or similar) used across multiple AI and data use cases.
- Own and manage the code repository: structure, branching strategy, pull requests, code reviews and refactoring standards.
- Implement and enforce software development best practices – CI/CD, automated testing (unit and integration), static checks and quality gates.
- Drive a focus on code simplicity, performance and maintainability, continuously improving the codebase through regular refactoring.
- Work in a full‑stack environment: Python/Django on the backend, templates or light front‑end integration where needed, running in containers (Docker/Kubernetes) with DevOps support.
- Mentor and upskill other developers (including offshore team members), providing clear feedback and helping to embed consistent ways of working across pods.
What we’re looking for
Must have
- Advanced Python experience building production systems and APIs (Django or comparable framework).
- Demonstrable experience owning a codebase: repository management, branching/PR workflows, code reviews and refactoring.
- Strong grasp of engineering best practice: CI/CD pipelines, automated testing, monitoring and documentation.
- Experience working in a containerised environment (Docker; Kubernetes strongly preferred).
Should have
- Exposure to front‑end integration (Django templates or similar) and an understanding of how the full stack hangs together.
- Experience in financial services or consulting environments.
- Previous responsibility for mentoring or leading developers within a team.
Details
- Location: UK‑based, hybrid working with onshore and offshore teams.
- Contract: 3–12 months, with potential to extend.
#J-18808-Ljbffr…
Posted: May 17th, 2026