Data Engineer (Senior Level)

Xiaomi Technology; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Xiaomi Technology is seeking a skilled Data Platform Engineer in Singapore to lead the research and development of a scalable data platform for Xiaomi Internet businesses. You will drive end-to-end design and delivery of large-scale data systems, build ETL infrastructure, and implement Data as a Service for analytics teams.

You will mentor junior engineers, implement governance, and evaluate new technologies to improve performance, cost efficiency, and data freshness while collaborating with

Qualifications

• Strong CS fundamentals in algorithms and data structures.
• Good understanding of system performance and scaling.
• Familiar with at least one language such as C++, Go, Java or Python.

Responsibilities

• Research and develop data platform for Xiaomi Internet businesses; drive end-to-end design and delivery of large-scale data systems.
• Build infrastructure and tools for ETL from diverse sources with high throughput and fault tolerance.
• Design and implement DaaS for analytics teams to support intelligent operations.
• Identify and implement internal process improvements: automate manual tasks and optimize data delivery.
• Lead the data warehouse layering strategy (ODS/DWD/DWS/ADS) and set standards.
• Evaluate emerging big data technologies (Iceberg, Flink, Doris) to boost pipeline performance and freshness.
• Define data governance policies including data quality, lineage, access control, and metadata management.
• Collaborate with product, engineering and BI to translate requirements into robust data architectures.
• Mentor junior engineers through code reviews and knowledge sharing.
• Drive cross-team alignment on data platform roadmap and participate in architecture reviews.

Skills

Programming languages (C++, Go, Java,/

Education

Bachelors in CS/SE/IT or related

Tools

Linux

Job description

Responsibilities:

• Responsible for the research and development of data platform for Xiaomi Internet businesses, driving end-to-end design and delivery of large-scale data systems.
• Build the infrastructure and tools required for optimal extraction, transformation, and loading of data from a wide variety of data sources, ensuring high throughput and fault tolerance.
• Design and implement Data as a Service (DaaS) for analytics and data scientist team members that assist them in developing intelligent agile operations.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Lead the design and evolution of the data warehouse layering strategy (ODS/DWD/DWS/ADS), establishing modeling standards and best practices across the team.
• Evaluate and introduce emerging big data technologies (e.g., Iceberg, Flink, Doris) to improve pipeline performance, cost efficiency, and data freshness.
• Define and enforce data governance policies including data quality standards, lineage tracking, access control, and metadata management.
• Collaborate closely with product, engineering, and business intelligence teams to translate complex business requirements into robust, scalable data architectures.
• Mentor junior engineers through code reviews, technical guidance, and knowledge-sharing sessions to elevate overall team capability.
• Drive cross-team technical alignment on data platform roadmap, participate in architecture reviews, and contribute to long-term infrastructure planning.

Requirements:

• A degree in Computer Science, Software Engineering, Information Technology or related fields. Strong Computer Science fundamentals in algorithms and data structures.
• Good understanding of system performance and scaling.
• Familiar with at least one of the languages, such as C++/GO/JAVA/Python, and have some experience in Linux shell development.
• Have good team communication and collaboration skills.