[LPS] Senior Data Engineer
Senior Data Engineer in Lenovo PCCW Solutions' AI Data Intelligence Practice in Hong Kong, building ETL/ELT, batch, CDC, streaming and API-based data pipelines on platforms like Databricks, Microsoft Fabric, Azure and AWS. The role focuses on data quality, orchestration, DataOps/CI-CD and cloud data platform work for enterprise consulting clients.
- Compensation
- Not disclosed
- Location
- Hong Kong, Hong Kong
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Analytics or related discipline
- 3-8 years of experience in data engineering, ETL development, data platform implementation or cloud data projects
- Strong SQL and Python skills
- Experience with Spark, Databricks, Microsoft Fabric, Azure Data Factory, Kafka, Airflow or equivalent tools
- Good understanding of data integration, data quality and pipeline orchestration concepts
Nice to have
- Experience with Git, CI/CD, Terraform, Docker or cloud-native deployment practices
- Exposure to streaming, CDC, DataOps, cloud migration or lakehouse implementations
- Experience supporting enterprise analytics, AI, reporting or managed service environments
Full description
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).
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:
- 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.
- Develop cloud-native data solutions on modern data platforms.
- Support data platform migration, modernization and performance optimization initiatives.
- Implement monitoring, logging, alerting and operational observability for data pipelines.
- Work with architects to translate solution designs into robust engineering deliverables.
- Apply DataOps, DevOps, CI/CD and version control best practices.