Data Engineer
Posted
Summary
Financial data engineer at a leading alternative investment firm (Singapore or Hong Kong) building the data infrastructure behind fundamental research and AI. Day to day: building and cleaning large Chinese equity datasets — especially Wind — via Python/SQL pipelines. Offers up to $250,000 USD with relocation and visa support.
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 (HIDDEN TEXT) for a confidential conversation.
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 (HIDDEN TEXT) for a confidential conversation.