Data Engineer — End-to-End Pipelines & Analytics

Singpass; Singapore; On-site; SGD 90,000 - 150,000; Full time

Benefits offered by this job

Flexible work arrangements

Leave benefits

Employee wellness programs

2-year fixed term contract

Job summary

GovTech in Singapore is hiring a Data Engineer to design, develop, and maintain robust data infrastructure that enables analytics across the organisation. You will collaborate with business stakeholders, data analysts, and other tech teams to deliver scalable data solutions that support data-driven decisions.

You will work on end-to-end data pipeline architecture, modelling, governance, and security, with opportunities to apply modern platforms such as Data Lakehouse concepts.

Qualifications

• 3–5 years of experience in data engineering, data analytics, or related technical field.
• Experience designing and implementing data pipelines and analytics solutions.
• Strong knowledge of data modelling concepts (star, snowflake, wide table) and SCD patterns.
• Proficiency in Python, SQL, and data manipulation libraries.

Responsibilities

• Design end-to-end data pipelines from source systems to analytics layers (bronze/silver/ gold).
• Develop, test, and deploy data pipelines with quality checks and error handling.
• Maintain and optimise data infrastructure for performance and cost-efficiency.
• Collaborate with data analysts, data scientists, and stakeholders to meet business needs.
• Ensure data governance, lineage, and metadata practices are followed.

Skills

Data architecture

Data modelling

Data platforms

Python programming

SQL

Data governance

Cloud/AWS & Databricks

Problem solving

Communication

Tools

Databricks

AWS

Job description

GovTech in Singapore is hiring a Data Engineer to design, develop, and maintain robust data infrastructure that enables analytics across the organisation. You will collaborate with business stakeholders, data analysts, and other tech teams to deliver scalable data solutions that support data-driven decisions.

You will work on end-to-end data pipeline architecture, modelling, governance, and security, with opportunities to apply modern platforms such as Data Lakehouse concepts.