# Senior Data Engineer (NEA) **Company**: Government Technology Agency (GovTech) **Location**: Singapore **Experience**: senior **Job type**: full-time **Category**: Engineering **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/govtech/jobs/4007715201?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_ad848daa-f65 ## Description The Government Technology Agency (GovTech) is the lead agency driving Singapore's Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government's capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions. GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do. Play a part in Singapore's vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! As a Senior Data Engineer, you will design and build the data foundations that power environmental intelligence, operational decision-making and incident response capabilities. Your work will help transform fragmented environmental data into trusted, timely and actionable information that enables officers to respond faster and make better decisions during environmental incidents. **Responsibilities** A) Systems & Data Integration - Design and develop scalable backend services and APIs to integrate environmental monitoring systems, sensor networks, public feedback platforms and operational systems - Build reliable data ingestion capabilities for internal and external data sources - Develop data integration services that support the timely exchange of environmental and operational data across multiple systems - Implement robust error handling, retry mechanisms and observability practices to ensure operational reliability - Ensure data quality, traceability and lineage across critical environmental datasets B) Data Platform & Engineering - Build and maintain batch and near real-time data pipelines that process environmental, operational and public feedback data - Design scalable data models that support incident investigations, operational reporting and analytics use cases - Transform fragmented datasets into trusted, consumable and decision-ready data products - Optimise pipeline performance, reliability and scalability to support mission-critical operations - Monitor, troubleshoot and resolve production data issues to maintain platform health C) Analytics & Intelligence Enablement - Develop curated datasets that support operational dashboards, investigative workflows and management reporting - Partner with Product Managers, engineers, analysts and NEA stakeholders to translate business needs into data products - Enable self-service analytics through discoverable, well-governed and trusted data assets - Support environmental intelligence, advanced analytics, modelling and future AI-enabled use cases - Identify opportunities to improve data accessibility, usability and decision-making across the organisation D) Engineering Excellence - Implement automated testing, CI/CD and deployment best practices - Maintain platform monitoring, alerting and operational health dashboards - Contribute to solution architecture, technical design and engineering standards - Promote best practices in software engineering, data governance, security and reliability - Continuously improve engineering processes, tooling and platform capabilities **Requirements** - 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 - Able to work independently in ambiguous problem spaces - Strong analytical and problem-solving skills **Technical Skills** - Strong proficiency in Python and SQL - Experience designing and building ETL / ELT pipelines - Strong understanding of data modelling, data warehousing and data lake architectures - Hands-on experience with Databricks, Apache Spark or similar distributed data processing technologies **Nice to Have** - Experience working with environmental, scientific or geospatial datasets - Experience integrating IoT devices, environmental monitoring systems or sensor networks - Experience supporting mission-critical operational systems ## Skills ### Required - Python - SQL - ETL / ELT pipelines - data modelling - data warehousing - data lake architectures - Databricks - Apache Spark ### Nice to have - environmental datasets - geospatial datasets - IoT devices - sensor networks --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/govtech/jobs/4007715201?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)