Senior Data Engineer: Build Scalable Data Pipelines

Grab; Singapore; On-site; SGD 150,000 - 210,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex benefits

Parental leave

Birthday leave

LASA volunteering leave

Grabber Assistance Programme

FlexWork hours

Job summary

Grab is seeking a Senior Data Engineer to shape data movement from source to decision and build scalable pipelines. You will own end-to-end data flows, from source systems to dashboards, working with product, analytics, and business teams.

The role requires designing and operating ETL/streaming pipelines and collaborating with engineers on migrations to ensure data quality and SLA adherence. This onsite position supports teams in multiple regions.

Qualifications

• 4+ years of experience building production data pipelines at scale.
• Strong hands-on Python and SQL skills with data warehousing knowledge.
• Knowledge of PySpark, Presto, and Airflow for data engineering tasks.
• Fluency in written and spoken English.

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 data needs.
• Ensure data architecture meets reporting requirements, including SLA commitments.
• Suggest ways to deliver quality data more efficiently and add value.
• Run multiple concurrent pipeline projects and migrations from scoping through delivery.
• Collaborate with backend engineers during migrations to ensure no data loss or SLA breach.

Skills

Data engineering

Python

SQL

Big Data

Airflow

PySpark

Tools

PySpark

Presto

Airflow

ETL tools

Job description

Grab is seeking a Senior Data Engineer to shape data movement from source to decision and build scalable pipelines. You will own end-to-end data flows, from source systems to dashboards, working with product, analytics, and business teams.

The role requires designing and operating ETL/streaming pipelines and collaborating with engineers on migrations to ensure data quality and SLA adherence. This onsite position supports teams in multiple regions.