Python Data Engineer - Systematic Trading - Hedge Fund

Tempest Vane Partners; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading alternative asset manager in London is seeking a Python-focused Data Engineer to enhance their quantitative platform team. The role offers significant career progression, a competitive compensation package, and the chance to work in a dynamic environment. Responsibilities include building data infrastructure and collaborating with researchers to ensure data quality for investment strategies.

Benefits

Pension

Private Healthcare

Life Assurance

25 Days Annual Leave

Qualifications

• Strong academic background in a STEM or Computer Science focused discipline.
• Strong Python engineering experience.
• Experience building ETL pipelines using Python.

Responsibilities

• Build and maintain the data infrastructure for funds research and trading strategies.
• Ensure timely acquisition, cleaning, and validation of diverse datasets.
• Provide high-fidelity data for developing investment models.

Skills

Python

ETL

SQL

Communication

Attention to Detail

Adaptability

Education

STEM or Computer Science

Tools

AWS

S3

Kafka

Airflow

Iceberg

Job description

Job Description

The Client

My client is a market leading alternative asset manager focused on multi-asset systematic investing.

The are looking for a Python focused Data Engineer to join their quantitative platform team.

What You'll Get

• An opportunity to work in one of the most exciting and fast growing buy-side businesses in the City.
• An opportunity to join a strong team with a very high talent density presenting lots of opportunity for learning and development.
• Incredible career progression opportunities with potential access to all areas of the business.
• A market leading compensation package including basic salary and annual bonus.
• Benefits including a pension, private healthcare, life assurance and 25 days annual leave.

What You'll Do

• Build and maintain the data infrastructure that fuels the funds research and trading strategies.
• Take responsibility for the end-to-end lifecycle of diverse datasets – including market, fundamental, and alternative sources – ensuring their timely acquisition, rigorous cleaning and validation, efficient storage, and reliable delivery through robust data pipelines.
• Work closely with quantitative researchers and technologists to tackle complex challenges in data quality, normalisation, and accessibility, ultimately providing the high-fidelity, readily available data essential for developing and executing sophisticated investment models in a fast-paced environment.

What You'll Need

• Strong academic background in a STEM or Computer Science focused discipline.
• Strong Python engineering experience.
• Experience building ETL pipelines using Python.
• Experience of SQL and relational databases.
• Experience with AWS or similar Cloud technology.
• Experience with S3, Kafka, Airflow, and Iceberg will be beneficial.
• Experience in the financial markets with a focus on securities & derivatives trading.
• Exceptional communication skills, attention to detail, and adaptability.