Data Engineer - Hedge Fund

JR United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An innovative systematic trading company is seeking a talented Data Engineer to enhance their data infrastructure. This role offers a unique opportunity to work closely with Portfolio Managers, traders, and quants, directly impacting the investment process as the company expands into new asset classes. The ideal candidate will have strong Python skills and experience in building ETL/ELT pipelines, ensuring data accuracy for quantitative strategies. Join a forward-thinking firm that values data integrity and offers a dynamic environment for professional growth.

Qualifications

• 4+ years of experience in building ETL/ELT pipelines in financial markets.
• Strong knowledge of SQL and relational databases.

Responsibilities

• Build and maintain data pipelines for intraday and systematic trading desks.
• Ensure accuracy and integrity of datasets for quantitative strategies.

Skills

Python

ETL/ELT pipelines

SQL

Data streaming technologies (Kafka, S3, Airflow)

Education

Degree in Computer Science

Job description

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Referment has partnered with a systematic trading company who are expanding their technology function to support their growing Portfolio Management function.

Working directly with PM's, traders and quants, you will be responsible for building and maintaining the data infrastructure that fuels their research and trading strategies, presenting an exciting opportunity to work close to the investment process as the company grows and expands into new asset classes.

The role will involve building and maintaining data pipelines for their intraday and systematic trading desks as well as frameworks to guarantee accuracy and integrity of datasets which dictate efficacy of their quantitative strategies.

As such, the successful applicant must have strong Python development skills and at least 4 years of experience working as a Data Engineer within financial markets.

Key Requirements

• 4+ years of experience building ETL/ELT pipeline using Python within financial markets (ideally for a systematic trading desk)
• Strong knowledge of SQL and relational databases
• In depth knowledge of data streaming technologies like Kafka, S3 and Airflow
• Degree or higher in Computer Science or similar field
• Willingness to do support and occasional on call work as and when required