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Senior Back End Engineer (Python & GCP) at Toucanberry Tech

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

09 Apr, 26

Salary

600.0

Posted On

09 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, GCP, Distributed Systems, System Architecture, Event-Driven Architectures, Containerisation, Docker, Cloud Platforms, Data Pipelines, Data Transformation, BigQuery, GoLang, Financial Services, Data Platform

Industry

Software Development

Description

Senior Back End Engineer (Python & GCP) 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 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 Fully Remote Outside IR35 Long term contract £600/Day

Responsibilities

Deliver scalable data infrastructure that automates financial and actuarial processes. Build robust backend systems and data infrastructure for automated data pipelines and dashboards.