Snr Analyst, Data Product Development, Data Office, SPR

Public Service Division (Singapore); Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Public Service Division (Singapore) seeks a Data Engineer to join the Data Office and help drive the whole-of-government HR data strategy. You will support the maintenance of an enterprise data platform and contribute to its modernisation, enabling data exchange across HR systems and downstream applications.

You will work within an Agile team to enhance operational efficiency, ensure data quality, and support AI-enabled analytics across the public service.

Responsibilities

• Manage day-to-day platform operations, including system monitoring, incident response, and data quality checks across ingestion and processing pipelines
• Partner with upstream system and downstream owners to investigate and resolve data errors, map harmonisation requirements, and maintain data integrity across the architecture
• Support system enhancements by reviewing Change Requests and Service Requests, developing UAT plans, and coordinating testing across operational workstreams
• Review existing workflows and design, develop, and implement automation processes to enhance operational efficiency. Optimize existing automation scripts and Power Automate workflows for routine tasks including data investigations, validation, patching, and operational data processing.
• Manage audit queries and ensure compliance with relevant governance frameworks and data management standards
• Contribute to the design, development, and maintenance of scalable data pipelines on a new data platform, applying medallion data lakehouse architecture principles to ensure clear data lineage and traceability
• Translate business and data requirements into clear data specifications and functional designs - covering data models, pipeline logic, and API requirements - to guide developers in building solutions that enable downstream consumers across operational systems, analytical tools, and AI applications to access governed, consumption-ready data. A working understanding of how these technical components function will be an advantage.
• Support the preparation and design of standardised datasets for consumers' needs, and contribute to technical design reviews covering schema design, pipeline logic, and data access controls
• Engage with stakeholders - including business users, data and system engineers, IT vendors, business analysts, and system owners - to capture requirements and translate them into comprehensive data specifications

Skills

Data engineering

Agile development

Power Automate

Data governance

Tools

Power Automate

Job description

What The Role Is
The Data Office champions the overall HR data strategy for the whole-of-government and PSD. We are responsible for end-to-end solutioning to allow PSD to use data effectively in developing its policies and programmes, as well as to drive adoption and evolution of HR data analytics across the public service.

What The Role Is
The Data Office champions the overall HR data strategy for the whole-of-government and PSD. We are responsible for end-to-end solutioning to allow PSD to use data effectively in developing its policies and programmes, as well as to drive adoption and evolution of HR data analytics across the public service.
To achieve this, the team leads initiatives to refresh and refine existing practices and approaches to HR data analytics, encompassing the full spectrum of activities across the data lifecycle, including an enterprise-wide data strategy, governance, analysis, collection, management, engineering, operations and advice.
What You Will Be Working On
The successful candidate will join the Data Engineering team, supporting the maintenance of an existing whole-of-government Public Officer data platform and the development a modernised replacement. This central platform facilitates data exchange between HR systems and downstream applications, consolidating and harmonising data from various sources before distributing it to relevant applications. There are plans to include more analytics or AI features and services in the new version. The new platform is designed to serve a broad range of use cases - from operational data exchange and analytical reporting and intelligence using AI and machine learning applications. Working within an Agile development framework, the role encompasses:
BAU Operations and Enhancements to an Existing Platform

• Manage day-to-day platform operations, including system monitoring, incident response, and data quality checks across ingestion and processing pipelines
  
• Partner with upstream system and downstream owners to investigate and resolve data errors, map harmonisation requirements, and maintain data integrity across the architecture
  
• Support system enhancements by reviewing Change Requests and Service Requests, developing UAT plans, and coordinating testing across operational workstreams
  
• Review existing workflows and design, develop, and implement automation processes to enhance operational efficiency. Optimize existing automation scripts and Power Automate workflows for routine tasks including data investigations, validation, patching, and operational data processing.
  
• Manage audit queries and ensure compliance with relevant governance frameworks and data management standards
  

Development of a Modernised Data Platform

• Contribute to the design, development, and maintenance of scalable data pipelines on a new data platform, applying medallion data lakehouse architecture principles to ensure clear data lineage and traceability
  
• Translate business and data requirements into clear data specifications and functional designs - covering data models, pipeline logic, and API requirements - to guide developers in building solutions that enable downstream consumers across operational systems, analytical tools, and AI applications to access governed, consumption-ready data. A working understanding of how these technical components function will be an advantage.
  
• Support the preparation and design of standardised datasets for consumers' needs, and contribute to technical design reviews covering schema design, pipeline logic, and data access controls
  
• Engage with stakeholders - including business users, data and system engineers, IT vendors, business analysts, and system owners - to capture requirements and translate them into comprehensive data specifications
  
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