Job Description
Data Engineer - Singapore/Hong Kong - Alternative investment firm | Up to $250,000 USD I’m working with a leading investment firm that is expanding its data and AI capabilities across Asia. They’re now looking for a Financial Data Engineer with strong experience working with Chinese equity data - particularly Wind. You’ll play a key role in building the data infrastructure that supports fundamental research, working across large financial datasets and making complex market and company data clean, reliable and usable. What the role demands 3+ years in Data Engineering / Financial Data / Data Platforms Strong Python & SQL Hands-on experience with Chinese equity / financial data Strong Wind experience - APIs, datasets, data structures and troubleshooting Solid understanding of data modelling, pipelines, cleaning & normalization Experience with financial data vendors such as Wind, Bloomberg or FactSet What you'll be doing Build and improve data pipelines for financial and market datasets Work extensively with Chinese equity data, including Wind Clean, structure and normalize complex financial data for research and AI applications Solve data challenges across companies, securities, entities, corporate events and time series Work closely with researchers, analysts and engineers to deliver the data they need Improve data quality, reliability, lineage and accessibility Help build a scalable AI-ready data layer bringing together internal and external sources Singapore / Hong Kong | Relocation & visa support available If you’re a Data Engineer who really understands Wind data and Chinese financial markets, I’d be very interested in speaking. 📩 DM me or reach out to jaynair@durlstonpartners.com for a confidential conversation.
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