# Data Engineering Lead

> Qode · Ho Chi Minh City, Vietnam · Full-time · Posted 2026-05-26

**Workplace:** on_site

## Description

_This is a position we're hiring for on behalf of our client in cloud industry._

  

**🚀 Company Introduction**

Our client empowers organizations by transitioning legacy workloads to cutting-edge Cloud, DevOps, and AI technologies. As **Vietnam's AWS Partner of the Year** for two years in a row, they bring deep expertise and innovative thinking to every project.

They're not just a consultancy, they're a transformation partner. Their dynamic team of engineers, architects, and DevOps experts is passionate about delivering impactful cloud solutions across industries, including FinTech, BFSI, and Digital Startups.

  

**🧠 About the Role**

We are looking for an experienced **Data Engineering Lead / Senior Data Engineer** who goes beyond building pipelines and understands how data drives **business decisions and analytics**.

In this role, you will:

-   Lead data engineering initiatives
-   Shape data models and analytics foundations
-   Work closely with business stakeholders and customers
-   Guide a team of data engineers

This role is ideal for someone who is ready to step up, take the lead, and own both the technical and business-facing aspects of a fast-growing data practice.

  

**📌 Key Responsibilities**

**Data & Analytics Leadership**

Own the design of **analytics-ready data models** aligned with business KPIs and use cases.

Translate business and customer requirements into scalable data solutions.

Partner with Product, Analytics, and Business teams to define metrics, reporting structures, and data standards.

  

**Data Engineering & Architecture**

Participating in and building modern **cloud-based data platforms** (Data Lake, Data Warehouse, Lakehouse).

Develop and maintain robust **ETL/ELT pipelines** using tools such as Airflow, DBT, Glue, Spark, etc.

Ensure data quality, reliability, and performance across pipelines and datasets.

Support real-time or near–real-time data processing when required.

  

**Leadership & Stakeholder Engagement**

Lead and mentor data engineers, providing technical guidance and code reviews.

Act as a technical point of contact for customers, explaining data solutions and trade-offs.

Collaborate with Cloud Architects, DevOps, and AI teams to deliver end-to-end solutions.

Contribute to project planning, estimation, and delivery ownership.

  

**🎯 What You Bring**

**Must-Have:**

-   **7+ years** of experience in data engineering or related roles.
-   Strong background as a **hands-on data engineer** (ETL, data modeling, analytics datasets).
-   Experience designing **data models for analytics and reporting**, not just raw ingestion.
-   Proficient in **SQL** and **Python**.
-   Hands-on experience with **cloud platforms** (**AWS preferred**; GCP/Azure acceptable).
-   **Strong background in business.**
-   Experience with orchestration and transformation tools (Airflow, DBT, Glue, etc.).
-   Strong team leadership skills
-   Strong experience working directly with business stakeholders (e.g. Finance, Risk, Sales, Marketing, Operations) to gather data or analytics requirements

  

**Nice-to-Have:**

-   Experience working with **BI or Analytics teams** (Looker, Power BI, Tableau, etc.).
-   Exposure to AI/ML data pipelines or analytics use cases.
-   Consulting or **customer-facing experience.**
-   Cloud certifications (AWS Data Analytics, Solutions Architect, etc.).

  

**🎁 What We Offer**

-   13-month salary
-   Project-based bonus
-   Work with cutting-edge cloud & AI technologies.
-   Join global projects with real impact across industries.
-   Modern, dynamic, and multicultural work environment.
-   Clear career path and learning support with access to certifications
-   Flexible working environment and collaborative team culture.
-   Annual company trips, fun team events, and great office vibes.
-   Competitive salary and full benefits package.

## Apply

[Apply at Qode](https://apply.workable.com/qodeworld/j/36A899C0E6/apply)

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