Senior Engineer, Data And AI Platform

DSTA; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

DSTA, Singapore, seeks motivated engineers to join an agile team to implement and manage the data analytics and AI platform transforming business processes through advanced data engineering and AI solutions. The role involves designing scalable data architectures, ETL/ELT pipelines, data virtualization, and ensuring performance, security, and reliability across enterprise analytics and AI workloads.

Candidates should have a degree in IT/CS/Engineering and experience with data integration and

Qualifications

• Bachelors degree in IT/CS/Engineering or related discipline.
• Experience in data and platform engineering deployment and sustainment.
• Familiarity with data integration tools administration.
• Strong analytical and communication skills to collaborate with cross-functional teams.
• Self-driven and performance oriented with good writing skills.
• Knowledge of government IT security policies is a plus.

Responsibilities

• Design, develop, and maintain scalable data architectures and pipelines using ETL/ELT and data virtualization.
• Optimise data platform performance, scalability, and reliability for analytics and AI workloads.
• Analyse data quality and implement data quality frameworks across enterprise systems.
• Drive implementation and enhancements to the data analytics and AI platform.
• Provide operations and maintenance support including system admin, monitoring, and tuning.
• Collaborate with data scientists, developers, and stakeholders to translate requirements into datasets.
• Stay updated on trends in data engineering, cloud technologies, and AI/ML platforms.

Tools

ETL tools

Data virtualization tools

Data analytics platforms

Job description

The Chief Information Office (CIO) works at the forefront of digitalisation of DSTA. We are seeking motivated engineers to join an agile and multi-disciplinary team. The role involves implementing and managing the data analytics and AI platform to transform DSTA's business processes and operations through advanced data engineering and artificial intelligence solutions.

Job Responsibilities

• Design, develop, and maintain scalable data architectures and pipelines using modern data integration techniques, including Extract, Transform, Load (ETL/ELT) and data virtualization.
• Optimise data platform performance, scalability, and reliability to support enterprise-wide analytics and AI workloads.
• Analyse data quality, identify issues, and implement data quality frameworks and tools to enhance data quality, integrity and accuracy across the enterprise systems and data platform
• Drive implementation and enhancements to the data analytics and AI platform.
• Perform operations and maintenance support, including system administration, monitoring, troubleshooting, and performance tuning of data and AI platform, tools and pipelines to ensure system performance and compliance to IT system policies.
• Collaborate with data scientists, application development teams and business stakeholders to understand and translate data and AI requirements to high-quality datasets and platform enhancements.
• Stay abreast of emerging trends in data engineering, cloud technologies, and AI/ML platforms.
• Degree in any Information Technology, Computer Science, Engineering or related disciplines.
• Experience in data and platform engineering deployment and sustainment.
• Knowledge and familiarity with data integration tools administration.
• Strong analytical and communication skills to interact with cross-functional teams to ensure quality delivery of data analytics and AI platforms.
• Self-driven and performance oriented with good writing skills.
• Knowledge and familiarity with government IT security policies and processes will be an added advantage.