- Kuala Lumpur Federal Territory Malaysia
Full Time Associate Data Engineer Jobs, in Lenovo Federal Territory - Maukerja
Working Location
Job Description
Responsibilities
General Information
Req #
WD00097721
Career area:
Data Management and Analytics
Country/Region:
Malaysia
State:
Wilayah Persekutuan Kuala Lumpur
City:
Kuala Lumpur
Date:
Tuesday, April 28, 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 *************, and read about the latest news via our StoryHub.
Description and Requirements
Our tech team is seeking a passionate Data Engineer to design, build and scale our enterprise-level data platform, while enabling seamless integration with our growing AI product ecosystem. You will own end-to-end development of data pipelines, ETL jobs, leverage AI/ML tools to realize business use cases.
Key Requirements
- Working experience in data engineering, with proven hands-on experience in designing, developing and maintaining large-scale distributed Data Platforms
- Proficient in SQL, Python, and common big data tools (Spark/Hive), solid foundation in data modeling and ETL architecture
- Better understanding of AI/ML principles, familiarity with model data preparation, feature engineering or LLM data processing workflows is preferred
- Strong analytical thinking, good communication skills, and ability to work independently in agile teams
Additional Locations:
- Malaysia
- Malaysia
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