AI Staff Data Engineer

Lenovo; Selangor; On-site; MYR 90,000 - 120,000; Full time

Job summary

A global technology company is seeking a Staff Data Engineer to build and optimize scalable data solutions. You will collaborate closely with Backend and AI teams, ensuring data quality, governance, and accessibility for advanced analytics. The ideal candidate has over 5 years of experience in data engineering, strong skills in Python and SQL, and familiarity with cloud platforms like Azure or AWS. This role offers the chance to work on cutting-edge AI projects and make a meaningful impact on business operations.

Qualifications

• 5+ years of experience in data engineering.
• Familiarity with data governance and compliance best practices.
• Hands-on experience with multiple database types.

Responsibilities

• Build, optimize, and maintain scalable data pipelines.
• Implement data quality, governance, and security standards.
• Collaborate with cross-functional teams for data optimization.

Skills

Proficiency in Python

Proficiency in SQL

Experience with distributed data systems

Problem-solving skills

Experience with cloud platforms (Azure, AWS, GCP)

Tools

Airflow

Kafka

PySpark

Job description

Why Work at Lenovo

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

Description and Requirements

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).

About the Role

We’re building a next‑generation hybrid‑cloud management platform that combines Generative AI and classical ML to help businesses optimize cost, reliability, and operations. As a Staff Data Engineer, you’ll be responsible for delivering robust, scalable data solutions—ensuring our data is clean, well‑organized, and ready to power analytics, AI models, and intelligent agents.

You’ll work closely with Backend, Product, and AI teams to make data accessible, reliable, and governed, while enabling advanced AI capabilities like prompt management, memory, and fine‑tuning. You’ll focus on implementing and optimizing data pipelines, supporting production workloads, and driving continuous improvements in data quality and performance.

What You’ll Do

• Build, optimize, and maintain scalable data pipelines and core data assets across the platform for both structured and unstructured data.
• Implement data quality, governance, and security standards, ensuring compliance with privacy regulations.
• Prepare and organize data for analytics, ML, and AI agents, including conversational and behavioral datasets.
• Support AI‑specific needs such as prompt logging, memory management, and collecting data for model improvement.
• Collaborate with cross‑functional teams to ensure data is discoverable, documented, and optimized for performance and cost.
• Troubleshoot, monitor, and enhance data workflows to ensure reliability and efficiency in production environments.

What We’re Looking For

• 5+ years of experience in data engineering and delivering reliable, scalable data solutions.
• Proficiency in Python and SQL; familiarity with distributed data systems and modern data tools (e.g., Airflow, Kafka, PySpark).
• Working knowledge of multiple database types, including relational, document, vector, and graph databases.
• Understanding of data governance, privacy, and compliance best practices.
• Experience with data pipelines for supervised ML and Agentic AI is highly desirable.
• Strong problem‑solving skills and ability to work effectively across teams.
• Experience supporting production data systems and optimizing for performance and cost.
• Hands‑on experience with cloud data platforms (Azure, AWS, GCP).

Why Join Us?

You’ll play a key role in building and delivering the data backbone of a platform that enables smarter, cost‑efficient operations for businesses worldwide. This is an opportunity to work on cutting‑edge AI‑driven solutions, drive delivery excellence, and make a tangible impact on our product and customers.