Data Engineer

Data Engineer 
Full time, HK Based 

Founded in Hong Kong in 2016 by the French couple Delphine Lefay and Diego Dultzin Lacoste, OnTheList is a leading premium flash sales concept in Asia and the Middle-East. OnTheList works to minimize the problem of excess stock by turning past-season inventory into sustainable opportunities.
OnTheList works directly with retail brands and official distributors, turning old inventory into opportunity by providing a sustainable way for brands to sell past-season items that would have otherwise ended up in landfills, while providing the best deals and steep discounts to our OnTheList members. Since launching in Hong Kong in 2016, OnTheList has hosted over 5,200 flash sales and has built a community of over 1.3 million members across all regions. We’ve since expanded to Singapore, Australia, Malaysia, Korea, Shanghai, Beijing, Thailand, and Dubai. 

Sustainability is rooted in who we are and motivates us to continue our mission. To date, we have saved over 8.2 million items from ending up in landfills. Forming OnTheLove, our CSR initiative, has allowed us to deepen our commitment to minimizing our carbon footprint while working with local organizations and hosting regular charity sales. 

At OnTheList, our values guide everything we do: Family Spirit is driven by humility, fostering genuine connections with our community. Panache reflects our passion for delivering exceptional experiences, while sustainability is rooted in our commitment to creating a positive impact on the world around us. Excellence is driven by the cooperation of our teams. 

WHAT WE WILL TRUST YOU WITH... 

• Assist in designing, building, and maintaining data pipelines and warehouse solutions to ensure reliable, timely access to key business data. 

• Support integration of data from multiple sources, including ERP, CRM, e-commerce (e.g. Shopify), and POS systems. 

• Help implement and maintain cloud-based data infrastructure on AWS (e.g. Redshift, RDS, EC2, S3). 

• Develop SQL scripts and Python automation for ETL/ELT workflows and data transformations. 

• Monitor and troubleshoot data pipelines to ensure accuracy, performance, and reliability. 

• Support dashboard creation and data visualization using BI tools such as Power BI, Looker Studio, or Tableau. 

• Contribute to maintaining data governance, security, and quality across systems. 

• Collaborate with business teams to understand data needs and support analytical reporting. 

• Continuously learn and improve technical and analytical skills under mentorship from senior data engineers. 

WHAT IT TAKES… 

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field. 

• 2+ years of professional experience in data engineering, analytics, or database management. 

• Solid understanding of SQL and Python for data manipulation and automation. 

• Familiarity with cloud environments (preferably AWS) and data warehousing concepts. 

• Exposure to BI tools (e.g. Power BI, Looker Studio, Tableau, or AWS QuickSight). 

• Understanding of ETL/ELT principles and experience with tools like Airbyte or similar is a plus. 

• Knowledge of retail or e-commerce data workflows (ERP, CRM, Shopify) is an advantage. 

• Strong problem-solving mindset, with an eagerness to learn and grow in a fast-paced environment. 

• Excellent communication skills and ability to collaborate in a team-oriented setting. 

• Fluent in English (spoken and written); proficiency in Cantonese or Mandarin is a plus.