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 AWS/GCP/Azure.
- Experience with AI Agents / LLM applications.
Benefits
We are a multinational, product-driven company specializing in proprietary POS solutions — developing in-house and delivering directly to our worldwide customers.
Benefits
- Recognition & Rewards:
- Performance Bonus (subject to the company’s business results and the employee’s performance evaluation)
- Biannual Performance Review and Salary Adjustment
- Comprehensive Insurance Coverage:
- Full government public insurance contributions based on gross salary
- Premium health insurance
- Annual health check
- Clear career development and growth structure; Training sessions and Learning workshops
- 14 days of annual leave and one additional day of leave for every year of service
- Laptop/MacBook and top-notch facilities are provided based on each role
- Agile/Scrum-based internal workflows for efficient and collaborative development
- Company trips, parties and regular team-building activities; Weekly happy hour, coffee, snacks, and board games
- Overseas travel opportunities based on the individual performance and policies for each evaluation period
Working Environment & Culture
- International Workplace: English-speaking environment
- Positive and Open-Minded Culture: Engineers are encouraged to propose innovative solutions that enhance productivity and code quality
- 1-on-1 Mentorship: Monthly coffee sessions with managers offer personalized feedback, goal setting, and career development opportunities
- Flexible Working Hours: Promote work-life balance and individual productivity
Skills Required
- Bachelor's degree in Computer Science, Information Technology, Software Development, or a related field
- 6+ years of hands-on Data Engineering experience
- Strong experience with data warehouses, data lakes, and ETL/ELT pipelines
- Strong Python and SQL skills
- 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 or fluent English communication skills
- Experience with AWS, GCP, or Azure
- Experience with AI Agents or LLM applications
What We Do
EPOS, founded in 2009, is a leading Point-Of-Sales (POS) system vendor. We aim to provide SMEs powerful yet cost-effective digital solutions. Our systems are used in over 60 different industries, including major Singapore government agencies and MNCs. We have an active and strong team capable of flexible customisation requirements and handling of major projects (e.g. major clients will have 50-60 outlets, with more than 100 POS terminals). Our clients include LTA, KKHospital, Popular Bookstore, UMart, Bounce Inc. We are a team that is truly passionate about helping businesses succeed. We want to see our customers thrive, and to expand and grow their business as ours.
