Senior Python Engineer - Risk Tech, Scalable Platforms

Tempest Vane Partners

Greater London

On-site

GBP 90,000 - 130,000

Full time

2 days ago
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Job summary

Tempest Vane Partners in London is seeking a Senior Python Developer to join their risk technology team. You will help revamp and rebuild core risk components to be scalable and resilient for internal risk managers and external clients.

The role requires modern Python expertise, strong SQL, and experience with distributed systems, data pipelines and cloud microservices (Kubernetes, Docker). Familiarity with Kafka/Kinesis and orchestration tools (Airflow or Dagster) is a plus.

Qualifications

  • 5+ years of software development experience, ideally within financial markets.
  • Strong programming skills with Python and SQL
  • Knowledge of distributed systems and messaging technologies (Kafka, Kinesis or similar)
  • Experience with data engineering (relational databases, building data pipelines, Lakehouse systems, etc)
  • Experience with cloud, container and micro service infrastructures (e.g. Kubernetes, Docker, Helm)
  • Knowledge of data modelling, data warehousing, and ETL design patterns
  • Experience with workflow orchestration and scheduling platforms (Airflow, Dagster or similar)

Responsibilities

  • Revamp and rebuild risk systems to improve scalability and resilience.
  • Collaborate with Risk Managers and Risk Analysts to deliver scalable components.
  • Work on cutting-edge technology in a business-facing development role.

Skills

Python
SQL
Distributed systems
Data engineering
Cloud and containers
Data modelling and ETL
Workflow orchestration

Tools

Kafka
Kinesis
Airflow
Dagster
Kubernetes
Docker
Helm

Job description

Tempest Vane Partners in London is seeking a Senior Python Developer to join their risk technology team. You will help revamp and rebuild core risk components to be scalable and resilient for internal risk managers and external clients.

The role requires modern Python expertise, strong SQL, and experience with distributed systems, data pipelines and cloud microservices (Kubernetes, Docker). Familiarity with Kafka/Kinesis and orchestration tools (Airflow or Dagster) is a plus.

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