Data Engineer: Build Pipelines, Clean Data & ML Prep

Logistics and Supply Chain MultiTech R&D Centre Limited; Hong Kong; On-site; HKD 380,000 - 520,000; Full time

Job summary

Logistics and Supply Chain MultiTech R&D Centre Limited in Hong Kong is seeking a data-focused professional to build and maintain data pipelines for analysis and reporting. You will transform diverse data sources into structured datasets to support business insights.

The role combines data engineering with data science, using Python and SQL for preprocessing, modeling, and automation, and collaborating with researchers to deliver reliable data solutions in real-world projects.

Qualifications

• Master’s degree in a related field (current or recent graduate).
• Must have some experience working with real-world data (e.g., surveys, financial data, operational logs, or external datasets) in projects, internships, or work.
• Hands-on experience with Python and SQL, including data preprocessing, analysis, and simple ML pipelines (using tools like Pandas, NumPy, Scikit-learn, XGBoost).
• Interest in both data engineering (pipelines, integration, quality) and data science (analytics, modeling, experimentation).
• Familiarity with data visualization or BI tools and basic statistical analysis.
• Some project experience building end-to-end data workflows, such as automating data collection, cleaning, and model training or reporting.
• Good analytical and communication skills; able to explain data findings and document processes clearly.
• Interest in working on complex, real-world datasets and supporting AI/ML or research applications.

Responsibilities

• Build and maintain data pipelines to collect, clean, and transform data from different sources into structured datasets suitable for analysis and reporting.
• Work with Python and Databases to automate data extraction, preprocessing, and feature engineering for real-world projects such as financial modeling and analytics.
• Support data integration between APIs, databases, and spreadsheets, ensuring data quality, consistency, and reproducibility.
• Develop basic data models and documentation to help data scientists and analysts use the data effectively.
• Monitor pipeline runs, debug data issues, and improve performance and reliability over time.
• Collaborate with business and research teams to understand data requirements and deliver practical data solutions.

Skills

Python

SQL

Data pipelines

Data preprocessing

Data analysis

ML pipelines

Pandas

NumPy

Scikit-learn

XGBoost

Education

Master’s degree in Business Information Systems, Computer Science, Data Science, Statistics, or related field (current or recent graduate)

Tools

Pandas

NumPy

Scikit-learn

XGBoost

SQL

Job description

Logistics and Supply Chain MultiTech R&D Centre Limited in Hong Kong is seeking a data-focused professional to build and maintain data pipelines for analysis and reporting. You will transform diverse data sources into structured datasets to support business insights.

The role combines data engineering with data science, using Python and SQL for preprocessing, modeling, and automation, and collaborating with researchers to deliver reliable data solutions in real-world projects.