Design and implement scalable data infrastructure to automate financial and actuarial processes. Develop robust backend systems and data infrastructure for financial services clients. Utilize Python and Azure to build scalable and efficient solutions.
Key Highlights
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Back End Engineer (Python & Azure)
Delivering scalable data infrastructure that transforms manual financial and actuarial processes into automated, auditable workflows. To deliver robust, scalable backend systems and data infrastructure that power automated data pipelines and dashboards for financial services clients.
Requirements
Hands On Experience:
- Designing and implementing distributed, large-scale systems
- Architecting solutions from scratch across the full development lifecycle
- Working with event-driven architectures and data pipelines
- Building production Python applications with strong software engineering practices
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- Extensive production experience with Python including modern frameworks, testing, and deployment practices
- Proven experience designing and building distributed systems at scale
- Strong system architecture skills with ability to translate requirements into technical designs
- Familiarity with event-driven architectures (Pub/Sub, message queues)
- Experience with containerisation (Docker) and cloud platforms (Azure preferred)
- Track record of taking requirements from concept through to production delivery
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- Proficiency with GoLang for high-performance services
- Financial services or data platform experience
- Fully Remote
- Outside IR35
- Leading Edge Technology
- Medium to Long Term Engagements - 6 Month Rolling
- Day Rate c£500 Per Day
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