Data Engineer

We’re looking for a skilled Data Engineer to join a growing data team. You’ll play a key role in designing, building, and optimizing data pipelines that power analytics, portfolio management, and investment decision-making across the firm.

Responsibilities include:

1. Develop and maintain robust ETL pipelines and data models to support investment research and reporting.
2. Integrate market, portfolio, and reference data from multiple internal and external sources.
3. Collaborate with data scientists, analysts, and portfolio managers to ensure data quality and accessibility.
4. Implement best practices for data governance, scalability, and performance.

Requirements include:

1. 3+ years of experience as a Data Engineer or similar role.
2. Proficiency in Python, SQL, and modern data stack tools (e.g., Snowflake, dbt, Airflow, AWS/Azure).
3. Experience in the investment management, asset management, or financial services industry strongly preferred.
4. Strong understanding of market data, financial instruments, and performance analytics.