Advisory Engineer, HW

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$83 billion revenue global technology powerhouse, ranked #153 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

We are looking for a Data Engineer to design, develop, and maintain reliable data pipelines and datasets that support business reporting, analytics, and AI solutions.

In this role, you will integrate data from multiple sources, improve data quality, optimize data processing, and build scalable data solutions that enable informed business decisions and AI development. You will collaborate with engineers, analysts, data scientists, and business stakeholders to translate business needs into reliable, maintainable, and reusable data solutions.

What you will do:

• Design, develop, test, deploy, and maintain scalable data pipelines for data ingestion, transformation, integration, and processing.
• Integrate and standardize structured and unstructured data from databases, APIs, files, enterprise applications, and cloud platforms.
• Develop and maintain data models and trusted datasets for reporting, dashboards, advanced analytics, machine learning, and generative AI applications.
• Implement data-quality checks, validation rules, monitoring, and error-handling mechanisms to ensure data accuracy, consistency, completeness, and reliability.
• Optimize database queries, data pipelines, and storage for performance, scalability, and cost efficiency.
• Troubleshoot data issues, investigate discrepancies, and improve the reliability of existing data solutions.
• Support data governance, documentation, lineage, security, and access-control requirements.
• Collaborate with technical and business stakeholders to translate requirements into effective data solutions and support reporting and AI use cases.
• Follow development best practices, including version control, testing, code reviews, and deployment processes.

What you will bring:

• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or a related field, or equivalent practical experience.
• Professional experience in data engineering, data integration, database development, software engineering, or a related technical role.
• Strong SQL skills and experience working with relational databases.
• Proficiency in Python or another programming language used for data processing and automation.
• Experience developing and maintaining ETL/ELT pipelines and integrating data from multiple sources.
• Understanding of data modeling, database design, data warehouses, and data-quality principles.
• Familiarity with Git, testing, and collaborative software development practices.
• Strong analytical, troubleshooting, and problem-solving skills.
• Good communication skills and the ability to collaborate with technical and non-technical stakeholders.

Preferred Qualifications

• Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
• Familiarity with data engineering technologies such as Azure Data Factory, Microsoft Fabric, Databricks, Apache Spark, or Snowflake.
• Experience with data visualization tools such as Power BI.
• Exposure to machine learning, generative AI, retrieval-augmented generation (RAG), or preparation of datasets for AI applications.
• Knowledge of data governance, metadata management, data lineage, and CI/CD practices.
• Experience working with operational, product, manufacturing, supply-chain, or customer data.

What Lenovo Can Offer You

Compensation & Rewards :

• Performance-based salary reviews and annual bonuses 
• Meal tickets, service anniversary awards, and referral bonuses 
• Employee share purchase program 
• Scholarships for employees’ children 

Health & Well-being :

• Fully covered private medical insurance 
• Annual well-being allowance for sports, training, relaxation, and therapy ,and on-site chair massage 
• Life & accident insurance with extra medical coverage 
• Employee Assistance Program 

Training & Development :

• Technical Ladder & Sales Excellence programs 
• Individual Career Development Plans with mentoring 
• Bookster subscription for continuous learning 

Time Away :

• 21–28 vacation days depending on tenure 
• Sick days and extra paid leave for public holidays on weekends 
• Additional paid leave for employees with children

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

AI PROCESSING NOTICE

We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.