# AI Data Engineer (Senior)

> EPOS · Ho Chi Minh City, Vietnam · Full-time · Posted 2026-09-22

**Workplace:** on_site

**Department:** EPOS Vietnam

## Description

### 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 **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

## Apply

[Apply at EPOS](https://apply.workable.com/epos/j/BA72DFC946/apply)

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