About this role
Data Engineer
Our Client: A leading financial firm undergoing a firmwide AI transformation. They are building a brand-new, high-impact Equity Research AI team to revolutionize market intelligence across Hong Kong, Singapore, and Shanghai.
Responsibilities
- Design, build, and maintain highly scalable, automated data pipelines (ETL/ELT) to handle large-scale financial and alternative datasets.
- Structure, manage, and optimize both traditional relational databases and specialized Vector/NoSQL databases for high-velocity AI inference.
- Implement rigorous data governance, data quality controls, and pipeline monitoring systems to ensure maximum system reliability.
Requirements
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3+ years of experience building data infrastructure in fast-growing tech companies, startups, or data-intensive environments (open to senior candidates).
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Mainland China backgrounds are highly welcome, specifically targeting top talent and graduates from Tsinghua University, Fudan University, or Shanghai Jiao Tong University.
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Mastery of Python, SQL, and big data technologies (e.g., Spark, Kafka, Airflow, Snowflake). Experience with Vector DBs (Pinecone, Milvus) is a strong plus.
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Strong problem-solving mindset with the ability to construct infrastructure tailored specifically for AI model consumption.
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Professional proficiency in English.
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