Senior Python Developer

Tempest Vane Partners; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Tempest Vane Partners is seeking a Senior Python Engineer to scale the data platform powering systematic research and trading across global markets. You will work on real-time market data systems, data services for quant research, and scalable time-series storage in a cloud-native environment.

The role focuses on high-performance data infrastructure used directly by quant researchers and trading teams, with opportunities to influence architecture, tooling, and performance in fast-moving markets.

Responsibilities

• Build real-time and historical market data platforms for quantitative research and trading.

Skills

Python

Backend engineering

System design

Cloud infrastructure

SQL

Linux

Automation scripting

Stakeholder collaboration

Tools

AWS

Kafka

Kubernetes

Docker

Airflow

SQL

Linux

Time-Series Data

Distributed Systems

Job description

Senior Python Engineer – Systematic Trading & Market Data

The Client

A leading quantitative investment firm is hiring a Senior Python Engineer to help scale the data platform powering systematic research and trading across global markets.

This is a front-office engineering role focused on building high-performance data infrastructure used directly by quant researchers and trading teams.

The Role

The successful candidate will work on large-scale market data systems, real-time pipelines, cloud-native infrastructure, and research tooling that supports alpha generation across systematic equities strategies.

What you’ll build:

• Real-time and historical market data platforms
• Python-based APIs and data services for quant research
• Scalable time-series storage and retrieval systems
• Streaming and event-driven data architecture
• Distributed compute and research infrastructure
• Cloud-native tooling and platform automation

Tech environment:

Python | AWS | Kafka | Kubernetes | Docker | Airflow | SQL | Linux | Time-Series Data | Distributed Systems

Depending on experience, you may also work with:

Spark, Dask, Redshift, Snowflake, KDB, OneTick, Prometheus, Grafana, CI/CD tooling, and low-latency data workflows.

What they’re looking for:

• Strong Python engineering experience in production environments
• Experience building scalable backend or data-intensive systems
• Strong understanding of system design, performance, and architecture
• Experience working with cloud infrastructure and modern engineering tooling
• Solid SQL and data engineering fundamentals
• Linux and automation/scripting experience
• Ability to work closely with technical stakeholders in fast-moving environments

Previous experience in systematic trading, hedge funds, electronic trading, market data, or quantitative research environments is highly beneficial. Strong engineers from adjacent high-scale environments are also encouraged to apply.

Why this role stands out:

• Direct impact on trading and research outcomes
• Highly technical engineering culture
• Greenfield platform and scaling challenges
• Close collaboration with quant researchers and portfolio teams
• Strong compensation and long-term growth potential
• Opportunity to work on genuinely complex distributed data problems

Ideal backgrounds may include:

Systematic Hedge Funds | HFT | Prop Trading | Investment Banking | Market Data Platforms | Big Tech Infrastructure | Large-Scale Data Engineering