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We are looking for a sharp, autonomous Data Engineer (Asset Management/ Investment/Financial data) who understand financial, investment, and asset management datasets (e.g., Bloomberg feeds, corporate filings, market data) and possess the technical muscle to transform these requirements into production-ready AI tools.
Job Responsibility
Design, code, and deploy end-to-end agentic tools and multi-agent systems to automate complex tasks (e.g., cross-platform productivity roll-ups tracking MS SharePoint activity, automated research workflows, and operational reporting)
Independently design and build robust databases (utilizing AWS Redshift and the broader AWS ecosystem) tailored for financial market datasets
Take high-level business requirements from front, middle, and back-office stakeholders and translate them into technical execution without requiring extensive domain training
Partner closely with our dedicated IT and Data Infrastructure team based in India to ensure seamless deployment, scalability, and security
Build and automate ingestion processes for critical financial vendors like Capital IQ, FactSet, and Bloomberg, handling everything from corporate actions to market fundamentals.
Requirements
At least 4 years of working experience in Python and SQL skills with a proven track record of maintaining production-grade data pipelines
Practical experience managing AWS infrastructure and cloud-native databases
Prior experience in the investment or banking sector. Direct experience with Capital IQ and FactSet is a strict requirement for this role.