Data Engineer

Open Position  

Data Engineer at Hypertrade (Bangkok / Hybrid) – build and scale data pipelines that power Retail AI products used by leading retailers across APAC and Africa.

About this role 

• Hypertrade isn't another analytics shop — we're building the operating system for modern retail. 
• We turn chaotic, high-volume retail data into real-time clarity for leading retailers and global brands, powering A2, CIC, and next-gen Agentic Workflows. 
• Join our core Data Engineering team to design and run production-grade ingestion and transformation pipelines across 10+ retail environments. 
• You'll work with Python, Airflow, GCP, Bigtable — and build systems that get used, every day, to drive decisions on the shop floor and digital platforms.

What you will do 

• Design, build, and maintain scalable ETL/ELT pipelines in Python and Apache Airflow for multi-tenant retail clients. 
• Ingest and process POS, inventory, pricing, promotion, and loyalty data into our GCP-based data platform (Bigtable and related services). 
• Monitor, debug, and optimize workflows for performance, reliability, and cost; handle incidents and drive root-cause analysis. 
• Implement data quality checks, validation, and reconciliation to ensure trustworthy, analytics-ready datasets. 
• Collaborate with Data Science, Analytics, and Product teams to shape data models and enable new features in our retail analytics products. 
• Contribute to standards for version control (Git/GitLab), CI/CD, and documentation (Confluence), and work in an Agile setup using JIRA. 

What we are looking for 

• 3–5 years of experience as a Data Engineer or similar, working with large datasets and production pipelines. 
• Strong Python skills for data processing and automation, plus solid experience with Apache Airflow (or similar orchestration tools).  
• Good understanding of ETL/ELT, data warehousing concepts, and data modeling across relational and/or NoSQL systems. 
• Experience with at least one major cloud platform; GCP (Big Query, Cloud Storage, Pub/Sub, etc.) is a strong plus.  
• Skillful with Git-based workflows (Git/GitLab), code reviews, and Agile collaboration using JIRA and Confluence. 
• Clear communication in English and a problem-solving, ownership mindset. 

Nice to have 

• Background in retail or ecommerce data (POS, inventory, pricing, promotions, loyalty). 
• Experience with Big Data tools, containerization (Docker), and CI/CD for data pipelines.  
• Exposure to monitoring/observability for data systems (logging, metrics, alerting). 
• Familiarity with how BI and Data Science teams consume data and measure impact.

How to apply

• Share your CV and (optionally) GitHub/GitLab profile with a short note about your favorite data pipeline you've built, and why, to your HyperTrade careers contact at ([Confidential Information])