Senior Data Engineer

Grab; Petaling Jaya; On-site; MYR 368,000 - 613,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex

Parental leave

Birthday leave

LASA volunteering leave

Grabber Assistance Programme

FlexWork

Job summary

Grab is seeking a Senior Data Engineer for its onsite data engineering team in Southeast Asia. You will build and industrialize data pipelines, collaborate with product and analytics stakeholders, and shape data architecture to support reporting, dashboards, and data science use cases.

You will manage end-to-end pipelines (ETL, streaming, batch) using Python and SQL, and work with technologies like PySpark and Airflow. Strong communication and multi-project leadership are essential.

Qualifications

• 4+ years of experience in data engineering.
• Strong Python and SQL skills.
• Experience with PySpark, Presto, and Airflow.
• Fluency in written and spoken English.
• Ability to work directly with business stakeholders to scope and deliver data solutions.

Responsibilities

• Leverage large volumes of data from internal sources across the business.
• Develop, maintain, and support production data pipelines (ETL, streaming, batch) using Python and SQL.
• Act as the engineering point of contact for business stakeholders, gathering and assessing their data needs.
• Ensure data architecture meets business and reporting requirements, including SLA commitments.
• Recommend ways to deliver quality data more efficiently and identify opportunities to add value.
• Run multiple concurrent pipeline projects and migrations from scoping through delivery.
• Work with backend engineers on source-system migrations to ensure no data loss or SLA breach.

Skills

Python

SQL

PySpark

Airflow

ETL

Data warehousing

English fluency

Stakeholder communication

Tools

Presto

Airflow

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 Our Team

Our Data Engineering team builds the data backbone for a large-scale consumer platform. We industrialize data feeds, build and run ETL pipelines, and maintain the data warehouse layers that turn raw operational data into insight — in direct contact with product, business, and analytics stakeholders who depend on us daily.

Get to Know the Role

As a Senior Data Engineer, you'll shape how we get data from source to decision. You'll build and industrialize data pipelines across our layered data architecture, be the engineering point of contact for business needs, and help decide which technologies best serve the data our stakeholders depend on — reporting, dashboards, product analytics, and downstream data science use cases.

The Critical Tasks You Will Perform

• You will leverage large volumes of data from internal sources across the business
• You will develop, maintain, and support production data pipelines (ETL, streaming, batch) using Python and SQL
• You will act as the engineering point of contact for business stakeholders, gathering and assessing their data needs
• You will ensure data architecture meets business and reporting requirements, including SLA commitments
• You will recommend ways to deliver quality data more efficiently and identify opportunities to add value
• You will run multiple concurrent pipeline projects and migrations from scoping through delivery
• You will work closely with backend engineers on source-system migrations — re-pointing and validating data pipelines during active platform cutovers — to ensure no data loss or SLA breach

Why Join Us

You'll own the pipelines behind decision-making for a large-scale consumer platform — with direct influence over the technology choices, architecture, and data quality bar the business relies on.

This is a fully onsite role that will be based in either Malaysia, Singapore or China.

What Essential Skills You Will Need

• 4+ years of experience in data engineering, building and operating production data pipelines at scale
• Strong hands-on Python and SQL skills
• Knowledge of Big Data technologies such as PySpark, Presto, and Airflow
• Solid understanding of ETL and layered data warehousing patterns
• Fluency in written and spoken English
• Ability to analyze, synthesize, and simplify complex data problems for varied audiences
• Demonstrated ability to work directly with business stakeholders to scope and deliver data solutions
• Strong communication skills — able to explain technical tradeoffs to non-technical stakeholders (analysts, product managers, business leads)
• Proven ability to prioritize and manage multiple concurrent projects, meeting deadlines without compromising data quality
• Comfortable working cross-functionally with backend/platform engineers to trace data lineage through service migrations

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.