Senior Data Engineer

About Grab and Our Team

Grab is Southeast Asia's premier superapp, providing convenience through services like meal delivery, financial management, and transportation solutions. Our mission is to advance Southeast Asia's economy by empowering individuals through technology and artificial intelligence, driven by values such as heart, hunger, honour, and humility.

Team Overview

The Data Engineering team develops the foundational data infrastructure for a major consumer platform. We design, implement, and maintain high-volume ETL pipelines and data warehouses that transform raw operational data into actionable insights, collaborating closely with product, analytics, and business teams.

Role Summary

As a Senior Data Engineer, your key focus will be designing and optimizing data pipelines across multiple layers of our data architecture. You'll function as the primary engineering liaison for business needs, help evaluate and choose appropriate technologies, and ensure data quality and availability for reporting, analytics, and data science initiatives.

Key Responsibilities

• Utilize large datasets from diverse internal business sources.
• Develop, operate, and support production-grade ETL and streaming data pipelines using Python and SQL.
• Collaborate with business stakeholders to gather and assess data requirements as their engineering point of contact.
• Guarantee that data architecture aligns with business goals and reporting service level agreements.
• Propose efficient strategies to enhance data delivery and add value through quality improvements.
• Manage multiple pipeline projects and migrations, from initial scope to final execution.
• Work closely with backend engineering teams on source system migrations, ensuring accurate data repointing and validation without data loss or SLA breaches during platform transitions.

Qualifications

• Minimum of 4 years experience in data engineering, specifically in building and maintaining production data pipelines at large scale.
• Proficient hands-on skills in Python programming and SQL querying.
• Familiarity with Big Data tools and frameworks such as PySpark, Presto, and Apache Airflow.
• Strong knowledge of ETL processes and layered data warehouse design patterns.
• Excellent command of English, both written and verbal.
• Ability to analyze complex data challenges and communicate them effectively to diverse audiences.
• Experience working directly with business stakeholders to define and deliver data solutions.
• Superior communication capabilities to explain technical trade-offs to non-technical teams including analysts and product managers.
• Strong project management skills to juggle multiple concurrent tasks while preserving data quality and meeting deadlines.
• Comfortable collaborating cross-functionally with backend and platform engineers during data lineage tracing and service migrations.

Additional Information: Life at Grab

• Provision of term life insurance and comprehensive medical coverage.
• Flexible benefits with GrabFlex that can be tailored to individual aspirations.
• Leave options including parental and birthday leave, along with community volunteering through Love-all-Serve-all (LASA) programs.
• Access to a confidential Grabber Assistance Program for personal and family support during challenging times.
• Flexible work arrangements to help balance professional and personal commitments.

Our Commitment

Grab is dedicated to fostering an inclusive and equitable workplace, ensuring all candidates are evaluated fairly, regardless of nationality, ethnicity, race, religion, gender, disability, or other unique traits.