Data Development Engineer

Lenovo

Kuala Lumpur, Malaysia

Posted on Mar 17, 2026

General Information

Req #

WD00093705

Career area:

Data Management and Analytics

Country/Region:

Malaysia

State:

Wilayah Persekutuan Kuala Lumpur

City:

Kuala Lumpur

Date:

Thursday, January 22, 2026

Working time:

Full-time

Additional Locations:

* Malaysia

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

As an Associate Engineer, you will focus on developing and maintaining efficient data models to ensure high data quality and architectural integrity. You will provide dedicated user support by troubleshooting data-related queries and assisting stakeholders with technical issues to ensure seamless data access. Additionally, you will offer critical data project support, helping senior engineers execute initiatives through data validation, technical documentation, and pipeline maintenance. This role balances technical execution with cross-functional collaboration, allowing you to contribute to large-scale data solutions while refining your skills in SQL and database design within a fast-paced environment.

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