data engineer (25k - 30k x 13 mths + bonus).

about the company.

Our client is a global leader in providing 360-degree product solutions for the beauty, wellness, and retail sectors. They are known for integrating creative design with sophisticated technical engineering to bring world-class brands to life. With a presence in major global markets, they offer an international and fast-paced environment where technical innovation and sustainability are at the forefront of their mission.

• Design, develop, and maintain robust data processing pipelines and end-to-end ETL/ELT workflows.
• Create and optimize the corporate cloud data platform to ensure high-performance data storage and management.
• Act as a technical bridge between business units and IT, translating complex requirements into scalable technical solutions.
• Assist in generating advanced data visualizations and reports with tools such as Power BI to support data-driven decision-making across different business units.

• Bachelor’s Degree or above in Computer Science, Statistics, Mathematics, or a related discipline.
• 2-3 years of experience designing and developing data infrastructure using relevant tools such as Python (pandas, PySpark).
• Proficiency in Python, SQL for digital transformation and automation.
• Proficiency in cloud data platforms such as Azure, AWS and GCP
• Good understanding of ETL/ELT, data lake infrastructure concepts, principles, and modern implementation approaches.
• Proficiency in spoken English and Chinese; and is currently based in Hong Kong with a valid work permit.