Python Engineer for Financial Data Platforms

Orbis Group United Kingdom
Remote
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AI Summary

Join a high-profile project as a Python Engineer to deliver backend solutions for complex financial and actuarial workflows. Develop distributed systems, event-driven pipelines, and cloud-native solutions on GCP. Collaborate with stakeholders to turn requirements into scalable technical designs.

Key Highlights
High-profile project
Backend solutions for financial and actuarial workflows
Distributed systems, event-driven pipelines, and cloud-native solutions on GCP
Technical Skills Required
Python FastAPI Flask Docker dbt BigQuery GCP Pub/Sub message queues
Benefits & Perks
Remote work
6-month rolling contract with potential extensions

Job Description


Python Engineer – Financial Data Platforms – Outside IR35 – Contract

We’re looking for a Python Engineer to join a high-profile project focused on backend systems that automate complex financial and actuarial workflows. This is a hands-on role delivering backend solutions under tight deadlines in a highly regulated environment.


Key Responsibilities:

  • Build and maintain Python backend services using modern frameworks and CI/CD practices
  • Design distributed systems to handle high-volume financial and actuarial data
  • Develop event-driven pipelines using Pub/Sub and message queues
  • Implement cloud-native solutions on GCP with Docker and dbt
  • Collaborate with stakeholders to turn requirements into scalable technical designs


Required Skills:

  • Background working in asset management, insurance, or investment banking
  • 4+ years production Python experience (FastAPI, Flask, or similar)
  • Experience designing and operating distributed systems at scale
  • Hands-on experience with event-driven architectures (Pub/Sub or message queues)
  • GCP and Docker experience
  • Experience with dbt and BigQuery (or similar cloud data warehouses)


Rate: DOE, Outside IR35

Location: Fully remote, (Must be UK-based)

Duration: 6-month rolling contract (with potential extensions)


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