About this role
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:
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Bachelor's Degree in Computer Science / Information Technology / Software Development or related fields.
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6+ years of hands-on experience in Data Engineering.
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Strong experience in Data Warehouse, Data Lake, and ETL/ELT pipelines.
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Strong skills in Python and SQL.
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Good understanding of data modeling, data quality, and performance optimization.
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Hands-on experience with AI/ML or Generative AI data pipelines, particularly RAG, embeddings, or vector search.
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Good/Fluent English communication is mandatory. Nice to have:
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Experience with AWS/GCP/Azure.
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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
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Recognition & Rewards:
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Performance Bonus (subject to the company’s business results and the employee’s performance evaluation)
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Biannual Performance Review and
Salary
Adjustment
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Comprehensive Insurance Coverage:
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Full government public insurance contributions based on gross salary
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Premium health insurance
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Annual health check
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Clear career development and growth structure; Training sessions and Learning workshops
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14 days of annual leave and one additional day of leave for every year of service
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Laptop/MacBook and top-notch facilities are provided based on each role
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Agile/Scrum-based internal workflows for efficient and collaborative development
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Company trips, parties and regular team-building activities; Weekly happy hour, coffee, snacks, and board games
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Overseas travel opportunities based on the individual performance and policies for each evaluation period Working Environment & Culture
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International Workplace: English-speaking environment
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Positive and Open-Minded Culture: Engineers are encouraged to propose innovative solutions that enhance productivity and code quality
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1-on-1 Mentorship: Monthly coffee sessions with managers offer personalized feedback, goal setting, and career development opportunities
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Flexible Working Hours: Promote work-life balance and individual productivity