AI Data Engineer
Posted 8 Oct 2026
Advertised as “AI Data Engineer (Senior)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 6+ yrs
- Management level
- Individual contributor
- Contract
- Full-time
No salary listed for this role.
Field of studyComputer Science, Information Technology, Software Development (or related)
Study levelBachelor's
About Us
Established in 2009, EPOS Vietnam serves as the technical hub of EPOS Singapore, a leading provider of cutting-edge Point-of-Sale (POS) and SaaS solutions. Backed by Ant International — a global leader in digital payments and financial technology — we play a pivotal role in developing innovative, scalable, and user-centric digital solutions that power EPOS products. Our technologies enable thousands of SMEs in Singapore, with ongoing expansion plans across Asia, to digitize and grow their operations through cost-effective and reliable platforms.
At EPOS Vietnam, we cultivate a collaborative and dynamic culture driven by innovation and a passion for transforming businesses through technology. Join us to shape the future of digital solutions across Asia and beyond!
Key Contributions
- Design, develop, and maintain end-to-end data pipelines to ingest, process, and store large volumes of structured and unstructured data.
- Architect and build scalable data infrastructure, including data lakes, data warehouses, pipelines, and metadata repositories.
- Build and optimize data platforms to support analytics, AI/ML, and Generative AI applications.
- Build data pipelines for AI/GenAI use cases, including data preparation, document processing, embeddings, and RAG workflows.
- Ensure data quality, reliability, consistency, and performance across the data platform.
- Monitor, troubleshoot, and optimize data pipelines and infrastructure for scalability and cost efficiency.
- Collaborate with AI/ML Engineers, Software Engineers, and other stakeholders to deliver data and AI products.
Requirements
Must have:
- Bachelor's Degree in Computer Science / Information Technology / Software Development or related fields.
- 6+ years of hands-on experience in Data Engineering.
- Strong experience in Data Warehouse, Data Lake, and ETL/ELT pipelines.
- Strong skills in Python and SQL.
- Good understanding of data modeling, data quality, and performance optimization.
- Hands-on experience with AI/ML or Generative AI data pipelines, particularly RAG, embeddings, or vector search.
- Good/Fluent English communication is mandatory.
Nice to have:
- Experience with .