Data Engineer

WorldQuant, a global financial strategies firm, is seeking a Data Engineer to join their team in Vietnam. This role combines cutting-edge technology with financial markets, focusing on building and maintaining sophisticated data pipelines and machine learning systems. The ideal candidate will have a strong foundation in Python programming and data engineering, with particular emphasis on MLOps and Large Language Models (LLM).

The position offers an exciting opportunity to work with advanced technologies while contributing to WorldQuant's systematic financial strategies platform. You'll be part of a culture that values intellectual horsepower and combines academic sensibility with practical results. The company emphasizes continuous learning and improvement, offering extensive professional development opportunities and a collaborative environment where you'll work alongside talented professionals.

The role involves designing and implementing production data pipelines, working with cutting-edge technologies, and ensuring system scalability and reliability. You'll need at least 2 years of experience in data pipeline development, strong Python skills, and a deep understanding of machine learning concepts. The company offers an attractive compensation package, comprehensive benefits, and a strong focus on work-life balance, including regular team activities and professional development opportunities.

This is an ideal position for a data engineer who wants to work at the intersection of finance and technology, with exposure to the latest developments in machine learning and data engineering. The role offers clear career progression and the chance to make a significant impact in a global organization that values innovation and technical excellence.