JOB DETAILS
SM/M, Senior Data Engineer
CompanyPublic Service Division
LocationSingapore
Work ModeOn Site
PostedMay 27, 2026
About The Company
The Government Technology Agency of Singapore (GovTech) is the lead agency driving Singapore's Smart Nation initiative and public sector digital transformation. We harness the power of technology to make lives better for citizens, businesses, international audiences and the public service sector.
Our mission: Engineering Digital Government, Making Lives Better.
Our goal is to create a government that is "Digital to the Core, and Serves with Heart". We achieve this by using technology to create services that are easy, seamless and secure for people to use, and placing the needs of citizens and businesses at the centre of everything we do.
As a digital government, our public officers are also able to continually upskill, adapt to new challenges and work more effectively across agencies as well as with citizens and businesses in Singapore.
About the Role
[What the role is]
A hands-on technical role responsible for designing, building, and maintaining the data pipelines and infrastructure that power IMDA's Data Platforms. The role sits at the intersection of data engineering and applied data science, and is critical to enabling data-driven decisions and AI-ready capabilities across the organisation.[What you will be working on]
- Design, build, and maintain scalable and reliable data pipelines for both batch and real-time data processing
- Contribute to data modelling and architecture decisions, including schema design and data warehouse or lakehouse structures
- Apply data science knowledge to support data quality, anomaly detection, and preparation of AI-ready datasets
- Collaborate with data analysts, product owners, and business stakeholders to translate requirements into robust data solutions
- Ensure pipelines and data storage practices comply with IM8 and other regulatory requirements, including data governance and cataloguing practices
- Champion documentation practices and platform operability across the team
- Provide technical guidance and mentoring to junior team members
[What we are looking for]
- Minimum 5 years of data engineering experience with a strong track record in production data pipeline delivery
- Data science background — working knowledge of statistical analysis, ML concepts, and experience preparing datasets for analytical or ML use cases
- Proficiency in Python and SQL; experience with pipeline frameworks such as Apache Spark or Airflow
- Experience with cloud platforms; familiarity with GCC or equivalent government-certified environments preferred
- Strong communication skills and comfortable working in an agile, fast-paced environment
- Experience with robotics, IoT sensor, or real-time streaming data
- Familiarity with MLOps practices and tools
- Experience with data cataloguing or governance tools
#LI-FN1
Only shortlisted candidates will be notified.
Position will commensurate with experience.
Key Skills
Data EngineeringPythonSQLApache SparkApache AirflowCloud PlatformsData ModellingMLOpsReal-time StreamingData GovernanceStatistical AnalysisMachine Learning
Categories
Data & AnalyticsTechnologyGovernment & Public SectorEngineeringSoftware
Job Information
📋Core Responsibilities
Design, build, and maintain scalable data pipelines and infrastructure to support IMDA's data platforms. Collaborate with stakeholders to translate requirements into robust data solutions while ensuring compliance with regulatory governance.
📋Job Type
full time
📊Experience Level
5-10
💼Company Size
4336
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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