Senior Data Engineer

Market insights

Stack

Free. Sign in with email.

Apply

Upload your CV — we will connect you with the employer directly through our pool.

Description

Lenovo PCCW Solutions (LPS) AI Data Intelligence Practice helps enterprises become truly AI-ready through data strategy, AI readiness, data governance, modern data platforms, analytics, generative AI and managed services. The practice delivers end-to-end services across Strategy, Build and Adopt, helping clients turn enterprise data into trusted business assets and AI-ready foundations. We work with leading platforms and ecosystems including Microsoft Fabric, Databricks, Azure, AWS, Alibaba Cloud, Lenovo Hybrid AI, modern data governance platforms, data product frameworks, and enterprise AI technologies. Our clients span financial services, government and public sector, manufacturing, education, retail, hospitality, property, logistics and enterprise markets across Hong Kong and Greater China. Role Overview: As a Senior Data Engineer, you will design, build and optimize secure, scalable and reliable data pipelines that power analytics, AI and enterprise reporting workloads. You will work across batch, streaming, API and cloud-native integration patterns. Key Responsibilities Data Engineering • Design and develop ETL/ELT pipelines for enterprise data platforms. • Build batch, CDC, streaming and API-based data integration solutions. • Implement data validation, data quality, reconciliation and error handling frameworks. • Create reusable data engineering components, templates and accelerators. • Support data modelling, transformation and data serving requirements. Platform Eng

Full description, company and the link to apply — after you sign in. Sign in

Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.