Senior Data Platform Engineer — Real-Time Data at Scale

re-zoo-me; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

GovTech, Singapore’s Government Technology Agency, is recruiting a Senior Data Engineer for the Singpass Data Platform. You will design, build, and operate data systems at scale, enabling secure, reliable data movement across real-time and batch workflows.

You will work with data engineers, software developers, product managers, and cybersecurity specialists to ensure high-quality data products, strong governance, and robust operational practices.

Qualifications

• Strong engineering fundamentals across distributed systems and data platforms.
• Experience designing and operating event-driven architectures and streaming systems.
• Understanding data ingestion, transformation, storage, governance, and observability.

Responsibilities

• Design, build, and operate scalable data platforms and distributed data systems that handle real-time and batch workloads.
• Develop robust data ingestion and processing pipelines with strong guarantees around data quality and freshness.
• Build observability and telemetry to monitor platform health and data reliability.
• Collaborate with software, data science, product, cybersecurity, and other teams to translate needs into scalable solutions.
• Lead architecture discussions and raise engineering standards across the team.

Skills

Distributed systems

Event-driven architectures

Data streaming

Observability & monitoring

Data governance & security

Problem solving & debugging

Tools

Kafka

Cloud data infrastructure

Data lakes/warehouses

Schema management

Job description

GovTech, Singapore’s Government Technology Agency, is recruiting a Senior Data Engineer for the Singpass Data Platform. You will design, build, and operate data systems at scale, enabling secure, reliable data movement across real-time and batch workflows.

You will work with data engineers, software developers, product managers, and cybersecurity specialists to ensure high-quality data products, strong governance, and robust operational practices.