Senior Data Engineer

About the role

Grab's Data Engineering team builds the data backbone for its large-scale consumer platform, industrializing data feeds, running ETL pipelines and maintaining the data warehouse layers that turn raw operational data into insights. As a Senior Data Engineer, you will shape how data moves from source to decision, build and industrialize pipelines across the layered data architecture, act as the engineering point of contact for business needs and help choose the technologies that serve reporting, dashboards, product analytics and downstream data science.

Key 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, re-pointing and validating pipelines during active platform cutovers so there is no data loss or SLA breach

Required profile

• 4+ years of experience in data engineering, building and operating production data pipelines at scale
• 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 trade-offs to non-technical stakeholders
• 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

Required skills

• Hands-on Python and SQL
• Big Data technologies such as PySpark, Presto and Airflow
• Solid understanding of ETL and layered data warehousing patterns

What we offer

• Term Life Insurance and comprehensive medical insurance
• Parental and birthday leave, plus volunteering leave
• A confidential assistance programme for employees and their loved ones
• FlexWork arrangements such as differentiated hours