Data Engineer
Neutron · Singapore River, Central Region ·
- Work mode
- Onsite
- Category
- Data engineering
- Experience
- 3+ years
- Salary
- SGD 6,500 – 8,000 / month
Neutron · Singapore River, Central Region ·
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Data Engineer at Neutron acting as the main point of contact for data requests on the Data Services & Operations team. Day to day involves building ETL/ELT pipelines on AWS (Glue, Lambda, Step Functions, S3), lakehouse architecture with Apache Iceberg, data quality/governance frameworks, and Terraform/CloudFormation deployments.
Salary: $6,500 – $8,000 per month
About the Role
As a Data Engineer on the Data Services & Operations team, you will be the primary point of contact for data requests — connecting business users with the right data assets while upholding governance, security, and service standards. The role is equal parts engineering, stakeholder partnership, and operational excellence.
Key Responsibilities
Data Pipeline & Architecture Design
• Design and implement scalable ETL/ELT pipelines using AWS services including Glue, Step Functions, Lambda and S3.
• Architect and build data lakehouse solutions leveraging Apache Iceberg or S3 tables — incorporating schema evolution, partition evolution and ACID transactions.
• Optimise pipelines for performance, cost and reliability at scale.
Data Quality & Governance
• Define, implement and maintain automated data quality validation frameworks, with metrics and monitoring to ensure data accuracy, completeness and consistency.
• Enforce data governance standards and ensure compliance across the data platform.
Application Development & Deployment
• Write production-quality code and deploy solutions on AWS cloud infrastructure.
• Apply DevOps practices — CI/CD pipelines and infrastructure-as-code tools such as Terraform or CloudFormation — for repeatable, auditable deployments.
Collaboration & Handover
Work closely with cross-functional teams and communicate technical designs clearly to non-technical stakeholders.
Produce thorough technical documentation to support the handover of solutions to the Day 2 operations team.
Qualifications
Degree in Computer Science, Data Engineering, Information Systems or a related field.
3–5 years of experience in data engineering, ETL/ELT development or data platform roles.
Strong hands-on experience with AWS services, and proficiency in Apache Iceberg or similar open table formats.
Experience in a Government Commercial Cloud (GCC) environment is strongly preferred.
AWS certifications such as AWS Certified Data Analytics or AWS Certified Solutions Architect are an advantage.Nice to Have:
Hands-on experience with Microsoft Purview and Unity Catalog.
Professional certifications in cloud, data engineering, data governance, or analytics.
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