Data Engineer

As a Data Engineer, you will play a pivotal role in building and maintaining the data infrastructure that fuels our research and trading strategies, working closely with quantitative researchers and technologists to tackle complex challenges in data quality, normalization, and accessibility.

Requirements

• 5+ years' experience building ETL/ELT pipelines using Python and pandas within a financial environment
• Strong knowledge of relational databases and SQL
• Familiarity with various technologies such as S3, Kafka, Airflow, Iceberg
• Proficiency working with large financial datasets from various vendors
• A commitment to engineering excellence and pragmatic technology solutions
• Excellent communication and collaboration skills, and the ability to work in a team