Lead Data Engineer, Metrics Platform
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 19, 2026. Grab scores B on the Alion truth index.
About Grab and Our Workplace
Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.
Get to Know the Team
The Metrics Platform team is a team within Grab's Data Technology organization, with members across Singapore, Indonesia, Thailand, Vietnam and Malaysia. We build the central platform for metrics that enables Grabbers across the company to define, serve, discover, and consume trusted business and product metrics at scale. Our platform is an important foundational layer for Grab's AI-powered data ecosystem. By making metrics reliable, reusable, discoverable, and served across teams, we help power better analytics, experimentation, automation, and AI-assisted data workflows across Grab.
Get to Know the Role
The Lead Data Engineer role in the Metrics Platform team is a hybrid data and software engineering role. You will be an important member of the team that designs, builds, and operates Grab's metrics platform across metric serving, ingestion, metadata, query generation, platform APIs and several cross platform integrations. You will be responsible from technical design and implementation to rollout and production operations. You will contribute hands-on while guiding engineering quality through design reviews, operational improvements, and collaboration with partner teams.
You will report to the Senior Data Engineering Manager and will be based onsite at our office in Petaling Jaya.
The Critical Tasks You Will Perform
- You will lead major platform initiatives that help teams model, publish, discover, and consume trusted metrics and data products across Grab.
- You will shape technical direction with the engineering manager and team, balancing user needs, reliability, scalability, cost, and delivery constraints.
- You will design and implement platform services, APIs, metadata systems, query generation, and tooling, establishing patterns that other engineers can extend and operate.
- You will turn ambiguous requirements into clear technical designs and delivery plans, coordinating dependencies and rollout decisions across teams.
- You will lead technical collaboration with engineering, analytics, and data science teams to onboard use cases and establish reusable integration patterns.
- You will strengthen engineering standards through design and code reviews, mentoring, testing practices, documentation, and self-serve workflows.
- You will guide the operation and evolution of metrics serving infrastructure, including Apache Pinot, StarRocks, data ingestion systems and pipelines, and related cloud services.
- You will lead investigations into reliability, performance, and correctness issues, driving improvements that prevent recurrence.
- You will guide responsible use of AI-powered tools, ensuring generated code, queries, and outputs meet engineering and data quality standards.
- You will use AI-powered coding, analytics, and data engineering tools responsibly to accelerate development, debugging, documentation, testing, and data investigation.
What Essential Skills You Will Need
- Bachelor's degree or higher in Computer Science, Information Technology, Data Science, Analytics, Engineering, or a related technical field.
- 5+ years 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.
Life at Grab
We care about your well-being at Grab, here are some of the global benefits we offer:
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex, create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
- Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For At Grab
We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.