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[LPS] Data Engineer - Job Opportunity at Lenovo Group Limited

Hong Kong, Hong Kong
Full-time
Mid-level
Posted: June 4, 2025
On-site
HKD 480,000 - 720,000 per year (USD 61,500 - 92,300). This estimate reflects Hong Kong's competitive technology market, Lenovo's Fortune 500 status, and the mid-level experience requirements. Senior data engineers in Hong Kong at multinational corporations typically command premium salaries due to the specialized skill set and bilingual requirements.

Benefits

Opportunity to work for a Fortune Global 500 company with $57 billion revenue, providing exceptional career prestige and stability
Access to cutting-edge AI-enabled technology portfolio spanning PCs, workstations, smartphones, tablets, and enterprise infrastructure
Global exposure through operations in 180 markets worldwide, enhancing international business acumen
Professional development through world-changing innovation projects building equitable and trustworthy technology solutions
Career advancement opportunities within a publicly listed technology powerhouse on Hong Kong Stock Exchange

Key Responsibilities

Drive strategic data pipeline architecture by translating complex business requirements into scalable technical designs that directly impact enterprise decision-making capabilities
Lead cross-functional stakeholder collaboration with architecture teams, external developers, and business users to ensure data solutions align with organizational objectives
Spearhead use case development through structured workshops, gathering and validating critical business requirements that shape data strategy
Architect comprehensive ETL pipeline infrastructure including data structure modeling, storage optimization, integration protocols, and integrity validation systems
Establish enterprise-wide data quality standards through exception control frameworks and traceability systems that minimize operational risk
Create technical documentation and specifications that serve as blueprints for large-scale data platform implementations
Design adaptive data models that support managed growth while minimizing change-related costs and risks across enterprise systems
Execute structured data quality evaluations for new data sources, assessing integration impact on existing pipelines and analytical models
Bridge critical gaps between business requirements and technical implementation by resolving data discrepancies and developing scalable solutions

Requirements

Education

Bachelor's degree (or higher) in mathematics, statistics, computer science, engineering, or related field

Experience

At least 5+ year IT experiences with 2-year in data migration and/or data warehouse pipelines projects. At least 3-year experience with Oracle or SQL Server SQL development

Required Skills

Strong technical understanding of data modelling, design and architecture principles and techniques across master data, transaction data and data warehouse Experience with Stored Procedure (PL/SQL) and SQL DDL/DML Power BI, Hadoop, Java Springboot, docker or OCP skill is advantage Proficient in both spoken and written English and Chinese (Mandarin/Cantonese) Proactive with good problem solving and multitasking skills and task management strategies
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Sauge AI Market Intelligence

Industry Trends

Enterprise data engineering is experiencing unprecedented growth driven by AI and machine learning adoption, with companies investing heavily in data infrastructure to support intelligent automation and predictive analytics capabilities The Asia-Pacific region, particularly Hong Kong, is becoming a critical hub for multinational technology companies seeking to leverage China's manufacturing capabilities while maintaining access to international markets Data privacy regulations and cross-border data governance requirements are creating increased demand for data engineers who can design compliant, secure data architectures Cloud-native data platforms and containerization technologies like Docker are becoming standard requirements as organizations modernize their data infrastructure

Role Significance

Likely working within a data engineering team of 8-15 professionals, reporting to a Senior Data Architect or Data Engineering Manager. The role involves collaboration across multiple departments including IT architecture, business analysis, and external vendor teams.
This is a mid-to-senior level individual contributor role with significant architectural responsibilities. The position requires independent decision-making on technical design choices and serves as a bridge between business stakeholders and technical implementation teams, indicating substantial organizational trust and responsibility.

Key Projects

Enterprise data warehouse modernization initiatives supporting Lenovo's global operations across 180 markets AI-ready data platform development to support Lenovo's strategic focus on AI-enabled devices and solutions Cross-regional data integration projects connecting manufacturing, sales, and customer data across Asia-Pacific operations Data quality and governance framework implementation to ensure compliance with international data regulations

Success Factors

Strong technical foundation in traditional database technologies (Oracle, SQL Server) combined with modern big data tools (Hadoop) and containerization platforms Exceptional communication skills to effectively translate complex technical concepts for diverse stakeholder groups including business users and external partners Cultural adaptability and language proficiency to work effectively in Lenovo's multicultural environment spanning Eastern and Western business practices Strategic thinking ability to design data architectures that can scale with Lenovo's rapid growth and technological evolution Project management capabilities to coordinate complex data initiatives across multiple time zones and organizational boundaries

Market Demand

High demand. Data engineering roles are experiencing significant growth as organizations prioritize data-driven decision making and AI initiatives. The combination of technical depth, business acumen, and bilingual capabilities makes this a particularly sought-after profile in the Hong Kong market.

Important Skills

Critical Skills

Oracle and SQL Server expertise is fundamental as these platforms likely support Lenovo's core business operations and financial systems. Deep knowledge of these enterprise databases is essential for maintaining business continuity while implementing modern data architectures. Data modeling and architecture principles are crucial for designing systems that can scale with Lenovo's global operations while maintaining performance and reliability. These skills directly impact the company's ability to make data-driven decisions across 180 markets. ETL pipeline design and stored procedure development are essential for maintaining data quality and consistency across Lenovo's complex global operations, ensuring accurate reporting and analytics for executive decision-making.

Beneficial Skills

Power BI expertise enhances the role's impact by enabling self-service analytics capabilities for business users, reducing dependency on IT while improving decision-making speed Hadoop and big data technologies position the candidate for Lenovo's future data architecture needs as the company continues to generate massive volumes of customer, manufacturing, and operational data Containerization skills using Docker and OpenShift Container Platform (OCP) are increasingly valuable as Lenovo modernizes its infrastructure to support cloud-native applications and microservices architectures

Unique Aspects

Exposure to one of the world's most complex global supply chains, providing insights into manufacturing, logistics, and retail data integration challenges
Opportunity to work on AI-enabled device data platforms at the intersection of hardware and software innovation
Access to Lenovo's research and development initiatives spanning consumer electronics, enterprise infrastructure, and emerging technologies
Strategic location in Hong Kong providing unique insights into both Chinese and international business practices and regulatory environments

Career Growth

Typical progression to senior roles within 2-3 years given Lenovo's growth trajectory and the increasing strategic importance of data capabilities. Leadership roles typically achievable within 4-5 years with demonstrated success in large-scale data projects.

Potential Next Roles

Senior Data Architect positions focusing on enterprise-wide data strategy and governance Data Engineering Manager roles leading teams of 10-20+ data professionals Principal Data Engineer positions at other Fortune 500 technology companies Data Platform Product Manager roles combining technical expertise with product strategy Solutions Architect positions specializing in data and analytics consulting

Company Overview

Lenovo Group Limited

Lenovo represents one of the world's most successful technology companies with a unique position bridging Eastern manufacturing excellence and Western market reach. As the world's largest PC manufacturer with $57 billion in revenue, the company has successfully diversified into smartphones, tablets, servers, and AI-enabled devices while maintaining its core hardware expertise.

Ranked #248 in Fortune Global 500, Lenovo holds a dominant position in the global PC market while aggressively expanding into emerging technologies including artificial intelligence, edge computing, and software-defined infrastructure. The company's strategic focus on 'Smarter Technology for All' positions it at the forefront of the digital transformation wave.
Hong Kong serves as Lenovo's strategic gateway to both the Chinese manufacturing base and international markets. This location provides unique exposure to both the world's largest manufacturing ecosystem and sophisticated international business practices, making it an ideal environment for developing global data engineering expertise.
Lenovo's culture emphasizes innovation, customer focus, and global collaboration. The company's 'We do what we say, We own what we do, We WOW our customers' philosophy creates an environment of accountability and excellence. The multicultural workforce and global operations provide exceptional opportunities for professional development and cross-cultural collaboration.
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