Snr Associate - Data Solutions Engineer
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Summary
A senior data solutions engineer in Singapore's Accountant-General's Department, building and governing a whole-of-government enterprise finance data analytics platform. Day-to-day work spans data engineering architecture, data integration, governance, and leading end-to-end BI/AI-ML projects using SQL, Python/Java, Agile and DevOps.
Overview
You will be part of the Finance Data & Analytics (FDA) directorate, overseeing the finance data and analytics strategy to support the government’s finance and internal audit community. Your role involves building a high-performance enterprise data engineering & analytics platform, creating a results-driven approach with data assets, and strengthening governance to optimise resource management and drive productivity within the public sector finance and internal audit community.
Key Responsibilities
Planning, designing and executing the data strategy for the WOG enterprise finance data analytics platform, integrating with agency objectives and building data as strategic assets.
Establishing and executing data governance, driving data ownership, traceability, discovery, quality, and management to balance accessibility and usability while ensuring compliance with public sector governance policies.
Overseeing data engineering & analytics architecture across data and AI/ML technologies, monitoring emerging trends, and proposing the technology roadmap for adoption and application.
Architecting, engineering, and managing data integration solutions to deliver data services at scale for enterprise activities using modern and innovative data technologies.
Partnering with leaders and executives to identify opportunities for leveraging contextualised data for enterprise BI and AI/ML projects to drive digital transformation and optimise business processes.
Identifying opportunities for abstracting one-off data projects into reusable solutions and integrating them into the WOG enterprise finance data analytics platform.
Leading end-to-end data & analytics projects, including user requirement studies, prototyping, development, testing and deployment, within Agile and DevOps practices.
Functional & Technical Competencies
Tertiary or professional qualifications in Computing, Information Systems, FinTech, Science, Technology, Engineering and Mathematics (STEM), or any related field.
At least 3 years’ experience in enterprise data platforms, data modelling, data engineering, data technologies, data solutions & products management, or related areas.
Knowledge or interest in business intelligence tools, data visualisation, reporting, Agile software development, project management in data-related projects, or competency in scripting/coding languages (SQL, Python or Java).
Knowledge or interest in data architecture, management & governance concepts, business process and technology related to enterprise information assets, data quality, data lineage, and approaches related to data protection, especially within a public sector context.
Ability to work with cross‑functional teams, including IT, legal, audit, finance and business stakeholders, and good communication skills across technical and non‑technical audiences.
Fresh graduates are welcome.
Generic Competencies
Strong team player who collaborates effectively with stakeholders from different public agencies.
Willingness to provide guidance to team members and agency partners.
Self‑motivated to learn, with a passion for technology or finance data and staying up‑to‑date with the latest data technologies.
Strategic thinker and problem solver who approaches tasks with motivation and commitment, and can simplify complex problems to drive overall business outcomes.
Ability to navigate ambiguity and manage multiple high‑priority projects simultaneously.
Good perspective‑taking skills, able to analyse issues from different agencies’ standpoints.
Confident communicator with strong writing, presentation and interpersonal skills that can create consensus on actions from a wide spectrum of stakeholders.
Analytical, resourceful and proactive, particularly in proposing alternative solutions to achieve desired outcomes.
Good understanding of public sector finance processes, internal audit, or regulatory compliance requirements.
Key Responsibilities
Planning, designing and executing the data strategy for the WOG enterprise finance data analytics platform, integrating with agency objectives and building data as strategic assets.
Establishing and executing data governance, driving data ownership, traceability, discovery, quality, and management to balance accessibility and usability while ensuring compliance with public sector governance policies.
Overseeing data engineering & analytics architecture across data and AI/ML technologies, monitoring emerging trends, and proposing the technology roadmap for adoption and application.
Architecting, engineering, and managing data integration solutions to deliver data services at scale for enterprise activities using modern and innovative data technologies.
Partnering with leaders and executives to identify opportunities for leveraging contextualised data for enterprise BI and AI/ML projects to drive digital transformation and optimise business processes.
Identifying opportunities for abstracting one-off data projects into reusable solutions and integrating them into the WOG enterprise finance data analytics platform.
Leading end-to-end data & analytics projects, including user requirement studies, prototyping, development, testing and deployment, within Agile and DevOps practices.
Functional & Technical Competencies
Tertiary or professional qualifications in Computing, Information Systems, FinTech, Science, Technology, Engineering and Mathematics (STEM), or any related field.
At least 3 years’ experience in enterprise data platforms, data modelling, data engineering, data technologies, data solutions & products management, or related areas.
Knowledge or interest in business intelligence tools, data visualisation, reporting, Agile software development, project management in data-related projects, or competency in scripting/coding languages (SQL, Python or Java).
Knowledge or interest in data architecture, management & governance concepts, business process and technology related to enterprise information assets, data quality, data lineage, and approaches related to data protection, especially within a public sector context.
Ability to work with cross‑functional teams, including IT, legal, audit, finance and business stakeholders, and good communication skills across technical and non‑technical audiences.
Fresh graduates are welcome.
Generic Competencies
Strong team player who collaborates effectively with stakeholders from different public agencies.
Willingness to provide guidance to team members and agency partners.
Self‑motivated to learn, with a passion for technology or finance data and staying up‑to‑date with the latest data technologies.
Strategic thinker and problem solver who approaches tasks with motivation and commitment, and can simplify complex problems to drive overall business outcomes.
Ability to navigate ambiguity and manage multiple high‑priority projects simultaneously.
Good perspective‑taking skills, able to analyse issues from different agencies’ standpoints.
Confident communicator with strong writing, presentation and interpersonal skills that can create consensus on actions from a wide spectrum of stakeholders.
Analytical, resourceful and proactive, particularly in proposing alternative solutions to achieve desired outcomes.
Good understanding of public sector finance processes, internal audit, or regulatory compliance requirements.