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A leading global investment organization is seeking a Data Engineer to build and maintain robust data platforms supporting trading, analytics, and investment decision-making. The role involves working closely with trading and technology teams on complex financial datasets and time‑critical systems. Key Responsibilities - Develop and maintain referential data platforms, including ETL pipelines and APIs for integrating external vendor data - Design and support fixed income reference data models for trading teams, covering corporate, government, municipal, mortgage, and convertible bonds, as well as US Treasuries - Enhance derivatives data models supporting trading workflows, including FX forwards, NDFs, interest rate and inflation swaps, and credit derivatives - Optimize data processing performance, significantly improving batch and market data workflows - Build reusable, protocol‑agnostic data ingestion tools in Python - Provide on‑call support for market events, corporate actions, and critical data updates - Own and maintain trading calendar APIs and index composition data from third‑party providers Requirements - Strong experience in data engineering, SQL, and Python - Experience designing data models for capital markets or trading systems - Familiarity with ETL frameworks, APIs, and cloud‑based data platforms - Strong problem‑solving skills and ability to operate in a high‑availability environment This role offers the opportunity to work on mission‑critical data systems within a sophisticated global investment environment. #J-18808-Ljbffr