Data Engineering Traineeship [GRIT@Gov]

About the Role 

As a Data Engineering Trainee, you'll gain hands-on experience in building and maintaining the data infrastructure that powers Singapore's digital government initiatives. This role offers exposure to modern data engineering practices, from designing data pipelines to implementing analytics solutions that support evidence-based policy making across government agencies. 

In this position, you'll work alongside experienced data engineers to develop scalable data systems, automate data workflows, and ensure data quality across various government datasets. From addressing whole-of-government data challenges to developing centralised solutions that maximise impact across agencies, you'll contribute to projects that transform how government leverages data for better public service delivery. 

Key Responsibilites:  

Data Pipeline Development & Management  

• Support the design and implementation of ETL/ELT pipelines that process data from multiple government sources and systems.  

• Assist in building automated data workflows using tools such as Apache Airflow, Python, and cloud-based data services.  

• Help maintain data quality checks and monitoring systems to ensure accuracy and reliability of government datasets.  

• Work with cloud platforms (AWS, Azure, or GCP) to deploy and manage data storage solutions and computing resources. 

• Assist in implementing data security measures and access controls in compliance with government data protection standards.  

• Help optimise database performance and troubleshoot data processing issues. 

Collaboration & Learning  

• Work closely with data scientists, analysts, and product teams to understand data requirements and deliver appropriate solutions.  

• Participate in code reviews, technical discussions, and knowledge sharing sessions with the data engineering team.  

• Support training sessions and workshops to help government officers understand and utilise data tools effectively.