Senior Data Engineer: Pipelines, Modeling & Governance

Clouds Shore Limited; Hong Kong; On-site; HKD 900,000 - 1,700,000; Full time

Job summary

Clouds Shore Limited in Hong Kong is seeking a Senior Data Engineer to design, build, and maintain scalable batch and real-time data pipelines, leveraging modern tools and cloud data warehouses. You will partner with Analytics, Product, and Data Science teams to deliver production-ready datasets for reporting and ML deployment.

The role emphasizes data governance, privacy, and RBAC, while optimizing SQL performance and storage costs across large datasets.

Qualifications

• 5+ years of experience in database architecture, upgrades and migration
• Solid experience in database administration
• Familiar with shell scripting is an advantage
• Excellent communication and collaboration; Cantonese and Mandarin proficiency

Responsibilities

• Design, build, and maintain scalable batch and real-time data ingestion and transformation pipelines using modern tools.
• Lead the design and implementation of enterprise data models within cloud data warehouses.
• Implement automated testing, data observability, and monitoring to ensure data integrity and track SLAs.
• Tune resource-heavy SQL queries, optimize storage costs, and improve pipeline execution times across large datasets.
• Partner with Analytics, Product, and Data Science teams to deliver production-ready datasets for reporting and ML deployment.
• Enforce data governance, privacy compliance, secure data handling, and RBAC.
• Drive engineering best practices through code reviews, architecture discussions, and mentorship of junior and mid-level data engineers.
• Oversee recruitment and supervision of the Data Team

Skills

Data pipelines

SQL tuning

Data governance

Code reviews

Mentorship

Cloud data warehouse

Data observability

Security

RBAC

Tools

Shell scripting

Job description

Clouds Shore Limited in Hong Kong is seeking a Senior Data Engineer to design, build, and maintain scalable batch and real-time data pipelines, leveraging modern tools and cloud data warehouses. You will partner with Analytics, Product, and Data Science teams to deliver production-ready datasets for reporting and ML deployment.

The role emphasizes data governance, privacy, and RBAC, while optimizing SQL performance and storage costs across large datasets.