Lead Data Engineer, GrabX (Experimentation & Config Management)

{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Engineer, GrabX (Experimentation \u0026 Config Management)","description":"\u003Cp\u003E\u003Cstrong\u003EAbout Grab and Our Workplace\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EGrab is Southeast Asia\u0027s leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we\u0027ve 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.\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003EGrabX\u003C/strong\u003E is Grab\u0027s mission-critical Configuration Management and Experimentation platform. We empower every product team at Grab to ship features safely and make data-driven decisions through A/B testing and automated experiment analysis. The platform handles the massive scale of Grab\u0027s traffic, managing real-time configurations for millions of concurrent users and processing petabytes of data to provide automated, statistically rigorous insights. Our goal is to minimize the \u0022time to insight\u0022 for engineers and product managers, ensuring that every feature launched at Grab is backed by high-fidelity data.\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003EGet to Know the Role\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EWe are looking for a \u003Cstrong\u003ELead Data Engineer \u003C/strong\u003Efor the GrabX team. This position focuses heavily on the data backbone of experimentation, leading the design of high-throughput data pipelines that feed our automated analysis engines. You will report to an Engineering Manager in Singapore and work onsite at the Grab Vietnam office (District 7, HCMC).\u003C/p\u003E\u003Cp\u003EThe technical stack includes:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EData Processing \u0026amp; Storage: \u003C/strong\u003EApache Flink, Apache Spark, Trino, StarRocks, and Delta Lake.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EOnline Serving \u0026amp; Config: \u003C/strong\u003EGolang, AWS infrastructure, Redis, ScyllaDB, and DynamoDB.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EInfrastructure:\u003C/strong\u003E Kubernetes, Terraform, and CI/CD for data workloads.\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cstrong\u003EThe Critical Tasks You Will Perform\u003C/strong\u003E\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EDesign and build robust batch and real-time data pipelines to process billions of experiment events daily for automated analysis.\u003C/li\u003E\u003Cli\u003EDevelop highly efficient Spark or Flink jobs to calculate complex business metrics and statistical significance at scale.\u003C/li\u003E\u003Cli\u003EImplement rigorous data validation and monitoring frameworks to ensure experiment results are accurate and trustworthy.\u003C/li\u003E\u003Cli\u003ELead the transition of our data architecture toward a centralized Metric Store model for seamless reuse across product groups.\u003C/li\u003E\u003Cli\u003EMentor a team of engineers while driving best practices in data modeling and system design for data-heavy applications.\u003C/li\u003E\u003Cli\u003ECollaborate with Data Scientists to automate hypothesis testing and anomaly detection within the experimentation lifecycle.\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cstrong\u003EWhat Essential Skills You Will Need\u003C/strong\u003E\u003C/p\u003E\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EMinimum of 7\u002B years of experience in Data Engineering or Software Engineering\u003C/strong\u003E with a strong focus on data-heavy systems.\u003C/li\u003E\u003Cli\u003EExpert-level proficiency in at least one of the following: Scala, Go, or Python.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EExtensive experience building large-scale data processing systems\u003C/strong\u003E using Apache Spark or Apache Flink.\u003C/li\u003E\u003Cli\u003EStrong understanding of OLAP database technologies such as StarRocks, ClickHouse, or Trino.\u003C/li\u003E\u003Cli\u003EProven track record of leading engineering teams and managing technical trade-offs in high-load, low-latency environments.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EDeep knowledge of data modeling, data warehousing, and managing distributed systems\u003C/strong\u003E at petabyte scale.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EStrong English communication skills\u003C/strong\u003E with experience working in regional or global environments.\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cstrong\u003EA big plus if you have:\u003C/strong\u003E\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EExperience building internal experimentation platforms or automated A/B testing frameworks.\u003C/li\u003E\u003Cli\u003EProficiency in CI/CD tools, AWS, Terraform, and Kubernetes for data infrastructure.\u003C/li\u003E\u003Cli\u003EFamiliarity with statistical concepts used in experimentation such as p-values and confidence intervals.\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cstrong\u003ELife at Grab\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EWe care about your well-being at Grab, here are some of the global benefits we offer:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EWe have your back with \u003Cstrong\u003ETerm Life Insurance \u003C/strong\u003Eand comprehensive \u003Cstrong\u003EMedical Insurance.\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003EWith \u003Cstrong\u003EGrabFlex, \u003C/strong\u003Ecreate a benefits package that suits your needs and aspirations.\u003C/li\u003E\u003Cli\u003ECelebrate moments that matter in life with loved ones through \u003Cstrong\u003EParental\u003C/strong\u003E and \u003Cstrong\u003EBirthday leave\u003C/strong\u003E, and give back to your communities through \u003Cstrong\u003ELove-all-Serve-all (LASA)\u003C/strong\u003E volunteering leave\u003C/li\u003E\u003Cli\u003EWe have a confidential \u003Cstrong\u003EGrabber Assistance Programme\u003C/strong\u003E to guide and uplift you and your loved ones through life\u0027s challenges.\u003C/li\u003E\u003Cli\u003EBalancing personal commitments and life\u0027s demands are made easier with our FlexWork arrangements such as differentiated hours\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cstrong\u003EWhat we stand for at Grab\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EWe are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.\u003C/p\u003E","identifier":"REF4714Z","mainEntityOfPage":"https://www.grab.careers/en/jobs/744000126641544/lead-data-engineer-grabx-experimentation-config-management/","url":"https://www.grab.careers/en/jobs/744000126641544/lead-data-engineer-grabx-experimentation-config-management/","datePosted":"2026-05-15","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"Grab","url":"https://www.grab.com/sg/","logo":"https://www.grab.careers/images/logo.svg"},"industry":"Engineering","jobLocation":{"@type":"Place","name":"HCMC","address":{"@type":"PostalAddress","name":"HCMC","addressCountry":"Vietnam","addressLocality":"HCMC","streetAddress":"CMC Creative Space"}}}