Overview

Data Engineer - Systematic Trading (Ref: 1e-f3). Base pay range information is provided by Referment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Responsibilities

• Build and maintain data pipelines for intraday and systematic trading desks.
• Develop and maintain data infrastructure that fuels research and trading strategies.
• Ensure accuracy and integrity of datasets that drive quantitative strategies.
• Collaborate with PMs, traders, and quants to support the investment process.

Qualifications

• 4+ years of experience building ETL/ELT pipelines 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 such as Kafka, S3, and Airflow.
• Degree or higher in Computer Science or a similar field.
• Willingness to provide support and occasional on-call work as required.

Employment details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: Financial Services, IT Services and IT Consulting, and Investment Management

Note: This refined description removes extraneous boilerplate and site-specific notices while preserving the essential responsibilities and qualifications.