AI Data Engineer (Senior)

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!

• 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.

• 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.

• Experience with AWS/GCP/Azure.
• Experience with AI Agents / LLM applications.