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: 3+ years of experience building data infrastructure in fast-growing tech companies, startups, or data-intensive environments (open to senior candidates). Mainland China backgrounds are highly welcome, specifically targeting top talent and graduates from Tsinghua University, Fudan University, or Shanghai Jiao Tong University. Mastery of Python, SQL, and big data technologies (e.g., Spark, Kafka, Airflow, Snowflake). Experience with Vector DBs (Pinecone, Milvus) is a strong plus. Strong problem-solving mindset with the ability to construct infrastructure tailored specifically for AI model consumption. Professional proficiency in English.