Data Platform Engineer
Summary
Data Platform Engineer at PayNet (Malaysia's payments network) in Kuala Lumpur: owns the shared data platform other teams build on — ingestion/CDC frameworks, pipeline SDKs, monitoring, and GitOps-based deployments — working hands-on with Python, Kubernetes, and cloud-native data infrastructure.
About the role
Build and own the core data platform that other engineers rely on daily. You will decide how data ingestion, pipelines, and tooling scale across teams and use cases, optimising for reliability, cost, and developer experience rather than one-off solutions. Work hands-on with Python, Kubernetes, and cloud-native data infrastructure, with clear ownership and accountability for platform outcomes.
Key responsibilities
Own and evolve reusable ingestion and CDC (Change Data Capture) frameworks used across teams
Build standard pipeline SDKs (Software Development Kits) that make onboarding new data sources predictable
Decide platform patterns that balance flexibility, simplicity, and scale
Engineer monitoring, alerting, and debugging tools that prevent silent failures
Run platform deployments using GitOps (Git-based Operations) with strong operational discipline
Shape how data is ingested, processed, and operated as PayNet scales volume and complexity
Influence platform standards early, before one-off solutions become systemic debt
