Statistician (Data Engineer) (Household, Income and Population)
Summary
Build and maintain cloud-based ETL pipelines and statistical registers for Singapore’s population and household data, using Python, SQL, and CI/CD to ensure robust, timely public-sector insights.
What the role is:
The Statistician (Data Engineer) is responsible for the development of Household Register, will lead the end-to-end lifecycle of demographic and household data that informs policy decisions and public understanding. You will play a pivotal role across data collection, integration and analysis. You will design and implement efficient data processing strategies, assess data integrity, establish and maintain statistical quality standards, identify trends and communicates insights to a wide range of stakeholders. You will also be responsible for architecting the transition of our existing data workflows into a modern cloud environment, from designing scalable cloud-based pipelines to driving the adoption of best practices in data engineering while ensuring that our statistical outputs remain robust and timely.
What you will be working on:
- Collaborate with source agencies to acquire data and identify opportunities for enhanced analytical capabilities
- Perform methodological reviews on data quality and develop new indicators to meet evolving needs of the government and public
- Lead the technical development and continuous improvement of the Household Register
- Design, build, and optimise scalable cloud ETL/ELT pipelines that integrate and harmonise diverse data sources
- Develop high-performance, scalable Python and SQL code for complex data processing, statistical analysis, and quality monitoring
- Drive operational efficiency by implementing CI/CD pipelines for automated testing and timely deployment of statistics
What we are looking for:
- Possess knowledge/experience in Data Science, Computer Science, Mathematics, Statistics or other related disciplines
- Strong programming skills in Python
- Experience with SQL and relational databases (e.g., PostgreSQL, MySQL), such as database design, query optimization, data modelling, and/or ingestion pipelines
- Familiar with version control using Git, including branching strategies, merge requests, code review, and CI/CD pipelines for automated testing and deployment.
- Strong problem-solving, analytical, and communication skills
- Ability to work independently and manage multiple projects simultaneously.
Development Opportunities and Benefits:
- DOS believes in the career development and training of our staff to bring out their best potential at work
- You will be equipped with skills and subject matter know-how via in-house and external learning and development opportunities. You will also be exposed to different statistical work via our structured job rotation programme.
- DOS offers attractive and market competitive benefits which include mid-year & year-end variable payments and market adjustment component.
- To support your personal needs, DOS also provides for flexible working arrangements including hybrid work and staggered working hours.
About Department of Statistics
The Singapore Department of Statistics is the National Statistical Authority responsible for statistics on the Singapore economy and population.We collect, compile, analyse and disseminate a wide range of economic, business, household and population data, as well as analyse and monitor trends in the economy and population.With these vital inputs, policymakers, business decision makers and our data users gain valuable insights into current and emerging economic and social trends, enabling them to make calculated and informed decisions in the formulation of policies and strategies for the future. Apart from public agencies and businesses, our users also include researchers, analysts, educators, students, the media and the general public.Join our team and make a difference by contributing important statistical input to facilitate policy planning and decision-making and support Singapore's present and future economic and social development.