Data Engineer - Systematic Trading (Ref: 1e-f3)

Referment; London; On-site; GBP 50,000 - 60,000; Full time

Job summary

Referment, a leading recruiting partner to a systematic hedge fund, seeks a Data Engineer in London. This mid-senior role involves developing data pipelines for trading desks and ensuring data integrity vital for quantitative strategies. Applicants should have solid Python experience and at least 4 years in data engineering within financial markets.

Qualifications

• 4+ years of experience building ETL/ELT pipelines in financial markets.
• Strong knowledge of SQL and relational databases required.
• In-depth knowledge of data streaming technologies like Kafka, S3, and Airflow.

Responsibilities

• Build and maintain data infrastructure for research and trading strategies.
• Ensure accuracy and integrity of datasets for systematic trading.

Skills

Python

SQL

Kafka

S3

Airflow

Education

Degree in Computer Science or similar field

Job description

Data Engineer - Systematic Trading (Ref: 1e-f3)

Data Engineer - Systematic Trading (Ref: 1e-f3)

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This range is provided by Referment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Referment has partnered with a systematic hedge fund who have recently opened up a new role in their Data Engineering team.

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
  
  

#Referment

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Financial Services, Investment Management, and Software Development

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