Senior Data Engineer

GrabTaxi Holdings Pte. Ltd.; Petaling Jaya; On-site; MYR 180,000 - 240,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex benefits package

Parental leave

Birthday leave

LASA volunteering leave

Grabber Assistance Programme

FlexWork hours

Job summary

GrabTaxi Holdings Pte. Ltd. in Petaling Jaya, Malaysia seeks a Senior Data Engineer to own critical data pipelines and infrastructure powering analytics and ML platforms at scale.

You’ll collaborate with cross-functional teams to architect data solutions and manage our data infrastructure, contributing to products used by millions of users. You will design, build, and optimize data pipelines, ensure data quality, and mentor junior engineers while working in a dynamic, forward-thinking

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, IT, Statistics, or related field.
• 4+ years of professional data engineering experience in distributed systems environments.
• Proficiency in Python, Scala, Java, or similar languages.
• Experience with data pipelines, ETL systems, and large-scale data workflows.
• Solid knowledge of relational databases (MySQL, PostgreSQL) and NoSQL databases (DynamoDB, MongoDB, Cassandra).
• Experience with cloud data platforms and AWS including data warehousing and auto-scaling.
• Experience with data pipeline orchestration tools (Airflow, Spark, Kafka).
• Strong understanding of data modeling, data quality, and data governance principles.

Responsibilities

• Collaborate with Product/Analytics/ML/BI teams to define data requirements and timelines.
• Design and implement scalable data pipelines and infrastructure.
• Build reliable, maintainable data systems with high data quality and timely delivery.
• Review data architectures and code to raise engineering standards.
• Support on-call duties and resolve complex data pipeline issues.
• Mentor junior data engineers and contribute to team growth.

Skills

4+ years data engineering

Python/Scala/Java

algorithms and data structures

ETL pipelines

data modeling

data governance

distributed systems

cloud platforms (AWS)

data warehouses

data pipelines orchestration (Airflow,

Education

Bachelor's degree in CS/IT/Stats

Tools

MySQL/PostgreSQL

DynamoDB/MongoDB/Cassandra

AWS

Apache Airflow

Spark/Kafka

Job description

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 Mobility team is an established team responsible for the ride-hailing module in the Grab app. We improve the core transport booking experience.

We are working with high-volume data streams, real-time distributed systems, and machine learning pipelines that process hundreds of millions of data points per day. Our mission is to provide reliable, accessible data infrastructure that enables data-driven decision‑making across the organization. Our team has direct impact on product insights, analytics capabilities, and the bottom line for Grab.

Get to Know the Role

We are looking for an experienced Senior Data Engineer to join our growing engineering team in Petaling Jaya, Malaysia. You will be reporting to Senior Engineering Manager. You will take ownership of designing, building, and optimizing critical data pipelines and infrastructure that power our analytics and machine learning platforms at scale. You will work with cross‑functional teams to architect data solutions and manage our data infrastructure. This is an opportunity to build systems that serve millions of users while advancing your career in a dynamic, forward‑thinking organization.

The Critical Tasks You Will Perform

• You will work with Product/Analytics/ML/Business Intelligence teams to understand data requirements, provide feedback on data architecture options, trade‑offs, and implementation timelines.
• You will collaborate with Backend/Analytics/ML Engineers and Data Scientists to design and implement scalable data pipelines and infrastructure solutions that address business problems.
• You will build data pipelines and infrastructure that are reliable, maintainable, and performant. Ensure data quality and timely delivery of datasets to stakeholders.
• You will review data architecture designs and code, provide constructive feedback, and aim to raise the engineering bar for data systems.
• You will be responsible and responsive during on‑call duty. Triage, debug, mitigate, and resolve complex data pipeline issues. Assist with ad hoc data requests from other teams.
• You will mentor junior data engineers and contribute to the team's overall growth and knowledge sharing.

What Essential Skills You Will Need

• You have Bachelor's degree in Computer Science, Data Engineering, Information Technology, Statistics, or a related field
• You have 4+ years of professional data engineering experience in distributed systems environments
• You have proficiency in at least one data processing language (Python, Scala, Java, or similar)
• You have experience with computer science fundamentals, including algorithms, data structures, and system design principles
• You have experience designing and building large‑scale, high‑throughput data pipelines and ETL systems
• You have solid knowledge of relational databases (MySQL, PostgreSQL) and NoSQL databases (DynamoDB, MongoDB, Cassandra, or similar)
• You have experience with cloud data platforms and infrastructure, AWS, including data warehousing solutions and auto‑scaling capabilities
• You have experience with data pipeline orchestration tools (Apache Airflow, Spark, Kafka, or similar)
• You have strong understanding of data modeling, data quality, and data governance principles

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.