Lead Data Engineer, Metrics Platform

Grab is Southeast Asia's leading superapp, providing various services such as food delivery, financial management, and transportation.

The Metrics Platform team is a part of Grab's Data Technology organization, building a central platform for metrics that enables Grabbers to define, serve, discover, and consume trusted business and product metrics at scale.

As a Lead Data Engineer in the Metrics Platform team, you will play a crucial role in designing, building, and operating Grab's metrics platform across metric serving, ingestion, metadata, query generation, platform APIs, and several cross-platform integrations.

Responsibilities:

• Lead major platform initiatives that help teams model, publish, discover, and consume trusted metrics and data products across Grab.
• Shape technical direction with the engineering manager and team, balancing user needs, reliability, scalability, cost, and delivery constraints.
• Design and implement platform services, APIs, metadata systems, query generation, and tooling, establishing patterns that other engineers can extend and operate.
• Turn ambiguous requirements into clear technical designs and delivery plans, coordinating dependencies and rollout decisions across teams.
• Lead technical collaboration with engineering, analytics, and data science teams to onboard use cases and establish reusable integration patterns.
• Strengthen engineering standards through design and code reviews, mentoring, testing practices, documentation, and self-serve workflows.
• Guide the operation and evolution of metrics serving infrastructure, including Apache Pinot, StarRocks, data ingestion systems and pipelines, and related cloud services.
• Lead investigations into reliability, performance, and correctness issues, driving improvements that prevent recurrence.
• Guide responsible use of AI-powered tools, ensuring generated code, queries, and outputs meet engineering and data quality standards.
• Use AI-powered coding, analytics, and data engineering tools responsibly to accelerate development, debugging, documentation, testing, and data investigation.

Qualifications:

• Bachelor's degree or higher in Computer Science, Information Technology, Data Science, Analytics, Engineering, or a related technical field.
• 5+ years of experience in data engineering, software engineering, or platform engineering, with demonstrated technical leadership of complex production systems.
• Strong proficiency in at least one programming language such as Go, Python, Scala, Rust, or Java.
• Experience designing and operating APIs, services, metadata systems, automation, tests, and monitoring.
• Experience designing ETL/ELT pipelines, data models, analytical storage systems, and data quality processes.
• Ability to evaluate architectural trade-offs across correctness, reliability, performance, scalability, maintainability, and cost.
• A track record of leading initiatives across teams, resolving technical ambiguity, and taking systems through rollout and production operations.
• Ability to mentor engineers, explain technical decisions clearly, and build agreement with stakeholders.

Benefits:

• Term Life Insurance and comprehensive Medical Insurance.
• GrabFlex, a benefits package that suits your needs and aspirations.
• Parental and Birthday leave, and Love-all-Serve-all (LASA) volunteering leave.
• Confidential Grabber Assistance Programme.
• FlexWork arrangements such as differentiated hours.