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
Requirements
Must Have:
4+ years 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
Bonus (Nice to have):
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
Benefits
Fully Remote
Outside IR35
Long term contract
* 600/Day
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