Open Position
Data Engineer atHypertrade(Bangkok / Hybrid) build and scale data pipelines that powerRetail AIproducts used by leading retailers across APACand Africa.
About this role
- Hypertradeisn'tanother analytics shop we'rebuilding 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'llwork with Python, Airflow, GCP, Bigtable and build systems that get used, every day, to drive decisions on the shop floorand digital platforms.
What you will do
- Design, build, andmaintainscalable 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, andoptimizeworkflows 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
- 35 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 witha short noteaboutyourfavorite data pipelineyou'vebuilt, and why, to yourHyperTradecareers contactat ([Confidential Information])
