Data Engineer – Research Platform

My client is a leading Macro-driven investment platform, they are seeking a high-caliber Data Engineer to architect and scale the next-generation data foundation for their fundamental equity research.

In this role, you will transform complex, high-volume financial feeds—with a strong emphasis on APAC equity markets—into clean, structured datasets that directly power portfolio managers, research analysts and downstream AI applications.

Key Responsibilities

• Pipeline Architecture & Ingestion: Design, deploy, and optimize scalable ETL/ELT pipelines to ingest, clean, and standardize diverse financial and market datasets.
• APAC Market Specialization: Manage, structure, and model APAC equity market data, leveraging extensive hands-on expertise with feeds, APIs, and data structures.
• Data Normalization & Entity Resolution: Solve complex, real-world market data challenges—including mapping company entities, ticker transitions, corporate actions, and time-series alignment.
• Data Governance & Quality Control: Implement robust monitoring, schema designs, lineage tracking, and automated testing to guarantee high data reliability and uptime.

Core Qualifications

• 3+ years of experience in data engineering, data platform architecture, or financial data management.
• Advanced proficiency in Python and SQL.
• Experience working with market data, company data, fundamentals, estimates, or related financial datasets.
• Experience integrating major market data providers (e.g., Bloomberg, FactSet, LSEG/Refinitiv).
• Background in supporting hedge funds, prop trading desks, or buy-side equity research teams would be a bonus.