Data Infrastructure Engineer, Robotics Platform (Flex Hours)

Grab; Singapore; On-site; SGD 120,000 - 170,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex benefits

Job summary

Grab is seeking a Data Infrastructure Engineer in Singapore to own the data backbone of robotics initiatives. You will manage streaming/batch pipelines, validate data quality, and build dashboards for engineers, data science and fleet operations.

The role spans lakehouse platforms, multi-region governance and cost-aware design. You will work with autonomy, ML and backend teams to standardize data contracts, improve observability and enable self-serve analytics across APAC.

Qualifications

• Strong Python and SQL, with the ability to write production-grade data services rather than one-off scripts.

Responsibilities

• Design, build and operate batch and streaming pipelines for robot telemetry, sensor recordings, autonomy events and operational data.
• Implement data quality and validation frameworks — schema enforcement, completeness and freshness checks, anomaly detection — with meaningful alerting when data breaks.
• Build observability for the pipelines themselves: throughput, lag, cost, failure modes and clear on-call signals.
• Build and maintain dashboards and curated, self-serve datasets for engineering, data science and fleet operations.
• Integrate robotics data and ML workloads onto Grab's central data and ML platforms — lakehouse, orchestration, feature and model tooling.
• Design storage, indexing and retention for high-volume sensor data balancing accessibility against cost.
• Partner with autonomy, perception and ML engineers to define metrics, and make training and evaluation datasets reproducible and versioned.
• Own data access, governance, retention and compliance across the regions we operate in.
• Drive down platform cost through partitioning, storage tiering, lifecycle policies and compute right-sizing.
• Document pipelines and datasets so that consumers can self-serve without a hand-off conversation.

Skills

Python

SQL

Data quality

Observability

Ownership

Tools

Spark

Flink

Kafka

Airflow

Dagster

Argo Workflows

Iceberg

Delta

Hudi

Presto

Trino

Spark SQL

BigQuery

Terraform

Docker

Kubernetes

Prometheus

Grafana

Superset

Tableau

AWS

Aliyun

Job description

Grab is seeking a Data Infrastructure Engineer in Singapore to own the data backbone of robotics initiatives. You will manage streaming/batch pipelines, validate data quality, and build dashboards for engineers, data science and fleet operations.

The role spans lakehouse platforms, multi-region governance and cost-aware design. You will work with autonomy, ML and backend teams to standardize data contracts, improve observability and enable self-serve analytics across APAC.