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E

AI Data Engineer (Senior)

EPOS
🇻🇳 Vietnam
On-site
Senior
1 day ago
  • point of sale
  • POS
  • AI/ML
  • Machine Learning
  • AI
  • RAG
  • ETL
  • ELT
  • Python
  • SQL
  • Data Modeling
  • Vector Search
  • AWS
  • GCP
  • Azure
  • Agile
  • Scrum
  • Health insurance
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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.

AtEPOS 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 ofstructured and unstructured data.
  • Architect and build scalable data infrastructure, including data lakes, data warehouses, pipelines, and metadata repositories.
  • Build and optimize data platforms to supportanalytics, 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 withAI/ML Engineers, Software Engineers, and other stakeholders to deliver data and AI products.

Must have:

  • Bachelor's Degree in Computer Science / Information Technology / Software Development or related fields.
  • 6+ years of hands-on experiencein Data Engineering.
  • Strong experience inData Warehouse, Data Lake, and ETL/ELT pipelines.
  • Strong skills inPython 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 withAWS/GCP/Azure.
  • Experience withAI Agents / LLM applications.

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

AI Data Engineer (Senior) · EPOS

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