Transform manual financial and actuarial processes into automated, auditable workflows. Design and implement scalable backend systems and data infrastructure. Collaborate with global life reinsurance clients to deliver robust and efficient solutions.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
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 our global life reinsurance client in Bermuda.
Hands On Experience:
- Building production Python applications with strong software engineering practices
- Designing and implementing distributed, large-scale systems
- Architecting solutions from scratch across the full development lifecycle
- Working with event-driven architectures and data pipelines
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- Exstensive 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 (GCP preferred)
- Track record of taking requirements from concept through to production delivery
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- Experience with dbt for data transformation workflows
- BigQuery or similar cloud data warehouse experience
- Proficiency with GoLang for high-performance services
- Financial services or data platform experience
- Fully Remote
- Outside IR35
- Long term contract
- £500 - £550/Day
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