Snr Associate - Data Solutions Engineer

Accountant-General's Department; Singapore; On-site; SGD 50,000 - 80,000; Full time

Job summary

The Accountant-General's Department in Singapore is looking for a Data Engineer to oversee the finance data and analytics strategy. This role involves executing the data strategy for the enterprise finance data analytics platform, establishing data governance, and managing data integration solutions.

Ideal candidates will have a tertiary background in Computing or Information Systems, with at least 3 years of relevant experience. Fresh graduates are welcome, and the position provides an opportunity to work on impactful projects across the public sector.

Qualifications

• At least 3 years of experience in enterprise data platforms and data engineering.
• Knowledge or interest in data architecture and governance concepts.
• Ability to work with cross-functional teams and communicate effectively.

Responsibilities

• Plan and execute the data strategy for the enterprise finance data analytics platform.
• Establish data governance to ensure data accessibility and quality.
• Oversee data engineering & analytics architecture using modern technologies.
• Lead end-to-end data & analytics projects within Agile and DevOps practices.

Skills

Data modelling

Data engineering

SQL

Python

Java

Business intelligence tools

Agile software development

Education

Tertiary qualifications in Computing, Information Systems, or related field

Job description

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.