Data Site Reliability Engineer (HFT, Singapore)
Summary
Own and maintain the reliability of production data pipelines for a high-frequency trading firm, automating ETL processes and incident response to ensure trading outcomes.
Are you a Data Engineer or Data-focused Site Reliability Engineer who wants to own data platform reliability at a globally renowned High-Frequency Trading and market making firm
Hyphen
is working with a
global
,
top-tier proprietary trading firm
to hire a
Data Site Reliability Engineer in Singapore.
The role
You will own the reliability of production data pipelines used by trading and research teams. You will manage data releases, scheduling, backfills, and incidents. You will work closely with engineers to reduce operational risk through automation, validation, and better system design. This role sits close to the business and ensures the operational excellence of the data platform powering one of the world's premier market makers.
We're looking for 3+ years working hands-on with
data in production (ideally data SRE, but Data Engineer is fine) 3+ years experience with
Python, SQL, ETL and data modelling. Confidence owning incidents and troubleshooting end to end A strong bias toward
automation ,
standardisation , and
reliability Exposure to trading / commodities or another accuracy-sensitive environment is a plus
What you'll get Ownership of data systems that directly impact trading outcomes A
strong, high-performance engineering culture
with high trust and low bureaucracy HFT competitive compensation and benefits A role that blends engineering depth with real business impact
If you meet the requirements above and want to
own data reliability in a high-performance trading environment , apply now or send your CV to
Nikhil Senan
at
(HIDDEN TEXT).
Hyphen
is working with a
global
,
top-tier proprietary trading firm
to hire a
Data Site Reliability Engineer in Singapore.
The role
You will own the reliability of production data pipelines used by trading and research teams. You will manage data releases, scheduling, backfills, and incidents. You will work closely with engineers to reduce operational risk through automation, validation, and better system design. This role sits close to the business and ensures the operational excellence of the data platform powering one of the world's premier market makers.
We're looking for 3+ years working hands-on with
data in production (ideally data SRE, but Data Engineer is fine) 3+ years experience with
Python, SQL, ETL and data modelling. Confidence owning incidents and troubleshooting end to end A strong bias toward
automation ,
standardisation , and
reliability Exposure to trading / commodities or another accuracy-sensitive environment is a plus
What you'll get Ownership of data systems that directly impact trading outcomes A
strong, high-performance engineering culture
with high trust and low bureaucracy HFT competitive compensation and benefits A role that blends engineering depth with real business impact
If you meet the requirements above and want to
own data reliability in a high-performance trading environment , apply now or send your CV to
Nikhil Senan
at
(HIDDEN TEXT).