Data Engineer
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Summary
Data Engineer at a quantitative trading firm in Singapore, building and supporting security and reference data platforms across equities, derivatives, FX, fixed income, and digital assets. Day to day combines hands-on Python/SQL/Linux development, testing and production support, and direct collaboration with traders.
Data Engineer – Singapore | Quantitative Trading
A leading quantitative trading firm is looking for a
Data Engineer
to join its Singapore team, working closely with the trading business. The role focuses on building and supporting
security and reference data infrastructure
across equities, derivatives, FX, fixed income, and digital assets.
The Role Develop and maintain security/reference data platforms supporting multiple asset classes. Take ownership across development, testing, releases and production support. Investigate data and production issues within a live trading environment. Act as a technical and functional SME for security/reference data. Work directly with Traders and other technology stakeholders to understand requirements and deliver solutions. Combine hands-on engineering with data ownership and production problem-solving.
The Profile Strong
Python, SQL, and Unix/Linux
experience. Hands-on experience with
security/reference data
within a trading environment. Good understanding of financial markets and trading workflows across one or more asset classes. Comfortable taking end-to-end ownership of applications and data. Excellent communication skills
with the ability to work directly with trading and technical stakeholders. Strong problem-solving ability and comfortable operating in a highly technical, fast-paced environment.
Singapore
Interested candidates can reach out directly for a confidential discussion.
Data Engineer
to join its Singapore team, working closely with the trading business. The role focuses on building and supporting
security and reference data infrastructure
across equities, derivatives, FX, fixed income, and digital assets.
The Role Develop and maintain security/reference data platforms supporting multiple asset classes. Take ownership across development, testing, releases and production support. Investigate data and production issues within a live trading environment. Act as a technical and functional SME for security/reference data. Work directly with Traders and other technology stakeholders to understand requirements and deliver solutions. Combine hands-on engineering with data ownership and production problem-solving.
The Profile Strong
Python, SQL, and Unix/Linux
experience. Hands-on experience with
security/reference data
within a trading environment. Good understanding of financial markets and trading workflows across one or more asset classes. Comfortable taking end-to-end ownership of applications and data. Excellent communication skills
with the ability to work directly with trading and technical stakeholders. Strong problem-solving ability and comfortable operating in a highly technical, fast-paced environment.
Singapore
Interested candidates can reach out directly for a confidential discussion.