Senior Data Engineer (NEA)

About the role

GovTech, the lead agency behind Singapore's Smart Nation initiatives, is hiring a Data Engineer to support the National Environment Agency's (NEA) environmental protection and incident response mission. Environmental incidents require rapid coordination across teams, drawing on sensor, weather, public feedback, operational and geospatial data; the Data Engineer designs the data foundations that turn fragmented data into trusted, timely information for officers.

Key responsibilities

• Build scalable backend services and APIs that integrate environmental monitoring systems, sensor networks, public feedback platforms and operational systems, with reliable data ingestion, error handling, retries and observability.
• Build and maintain batch and near real-time data pipelines, design scalable data models and turn fragmented datasets into decision-ready data products.
• Develop curated datasets for dashboards and reporting, enable self-service analytics and partner with Product Managers, engineers, analysts and NEA stakeholders.
• Implement automated testing, CI/CD and deployment best practices, and contribute to solution architecture, data governance, security and reliability.

Required profile

• 3-8 years of experience in Data Engineering, Software Engineering or related fields.
• Experience designing and operating production-grade data pipelines.
• Comfortable working with product managers, engineers, analysts and business stakeholders, and able to work independently in ambiguous problem spaces.
• Strong analytical and problem-solving skills.

Required skills

• Python and SQL; ETL / ELT pipelines; data modelling, data warehousing and data lake architectures.
• Databricks, Apache Spark or similar distributed data processing technologies.
• APIs, backend services and data integration; messaging and event-streaming technologies such as IBM MQ, Azure Event Hubs or Apache Kafka.
• Near real-time or streaming data pipelines.
• Cloud-native architectures, managed cloud services, CI/CD, Git and DevOps, monitoring, logging and observability.

Nice to have: experience with environmental, scientific or geospatial datasets, IoT devices, environmental monitoring systems or sensor networks, and supporting mission-critical operational systems.