Data Engineer

Job brief

We are seeking a dedicated and innovative Data Engineer to join our team in Hong Kong. This role involves developing efficient data engineering workflows, optimizing pipelines, and leveraging big data tools to support advanced machine learning applications. If you are passionate about data engineering and AI-driven solutions, this is an excellent opportunity to grow your career.

Responsibilities

• Develop and enhance data engineering workflows, tools, and platforms.
• Utilize big data tools such as Pandas, SQL, or MongoDB, with a willingness to learn emerging software for machine learning applications.
• Build end-to-end data automation pipelines, including data cleaning, curation, augmentation, and visualization.
• Optimize data workflows and models for performance, efficiency, and scalability.
• Apply knowledge of AI safety or AI governance frameworks where applicable.
• Perform other duties as assigned by management based on project and business needs.

Requirements

• Diploma, Bachelor's degree, or higher in Data Engineering, Data Science, Computer Science, or a related field.
• Understanding of the limitations of Large Language Models and modern machine learning algorithms.
• Proficiency in Python or similar programming languages for data science.
• Strong analytical and problem-solving skills with a results-driven approach.
• Experience with big data technologies (e.g., Spark, Airflow) is a plus.
• Demonstrate a high sense of responsibility and accountability.

Benefits & Perks

• Competitive salary: HKD 30,000 - 45,000 per month, based on experience and qualifications.
• Comprehensive fringe benefits package.
• Opportunities for professional growth in an innovative and dynamic work environment.
• Exposure to advanced machine learning applications and big data technologies.