Senior Engineer, Data and AI Platform

About the role

The Chief Information Office (CIO) of DSTA, which leads its digital transformation, is looking for motivated engineers to join an agile, multi-disciplinary team. The role centres on implementing and managing the data analytics and AI platform so that DSTA's business processes and operations can be transformed through advanced data engineering and artificial intelligence solutions.

Key responsibilities

• Design, develop and maintain scalable data architectures and pipelines using modern data integration techniques, including 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 improve data quality, integrity and accuracy.
• Drive implementation and enhancements of the data analytics and AI platform.
• Provide operations and maintenance support, including system administration, monitoring, troubleshooting and performance tuning of data and AI platform tools and pipelines.
• Work with data scientists, application developers and business stakeholders to turn data and AI requirements into high-quality datasets and platform improvements.
• Stay up to date with trends in data engineering, cloud technologies and AI/ML platforms.

Required profile

• Degree in Information Technology, Computer Science, Engineering or a related discipline.
• Experience in deploying and sustaining data and platform engineering.
• Strong analytical and communication skills, self-driven and performance-oriented, with good writing skills.
• Familiarity with government IT security policies and processes is an added advantage.

Required skills

• Data integration tools administration
• ETL/ELT and data virtualization
• Knowledge of data engineering, cloud technologies and AI/ML platforms