Data Engineer

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

Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 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

Responsibilities

• Design, develop, and maintain interactive Power BI dashboards and reports, emphasizing automation, user experience, and data storytelling.
• Translate complex business requirements into effective data visualizations and reporting solutions.
• Integrate and manage data from financial platforms such as Aladdin and Refinitiv, ensuring data quality, consistency, and accessibility.
• Build and optimize data pipelines using Azure Data Factory, Azure Databricks, and other related Azure services.
• Perform data processing and transformation using SQL, Python, and PySpark to handle large-scale datasets.
• Support data ingestion into Azure Analysis Services and maintain structured data within the organization's Data Lake.
• Implement and uphold data quality standards, best practices, and maintain comprehensive technical documentation.
• Keep abreast of industry trends and advancements in Power BI, Azure, and data engineering to drive continuous innovation and efficiency.
• Collaborate closely with the project team and business users, providing timely support and addressing ad hoc development requests.

Requirements

If you require an accommodation to complete this application, please

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