Data Engineer

Neutron Pte. Ltd.; Santo Niño 1st; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

Neutron Pte. Ltd. is seeking a Data Engineer to join the Data Services & Operations team. You will design scalable ETL/ELT pipelines on AWS, build data lakehouse solutions with Iceberg and S3, and uphold governance, security and service standards.

You will collaborate with cross‑functional teams, translate complex requirements into production code, implement CI/CD and IaC, and document architectures for day‑2 operations to enable reliable, auditable data platforms.

Qualifications

• 3-5 years of experience in data engineering, ETL/ELT development or data platform roles.
• Strong hands-on experience with AWS services and 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.

Responsibilities

• Design scalable ETL/ELT pipelines using AWS Glue, Step Functions, Lambda and S3.
• Architect and build data lakehouse solutions with Iceberg and S3 tables with schema evolution and ACID transactions.
• Define automated data quality validation frameworks with monitoring for accuracy, completeness and consistency.
• Enforce data governance standards across the data platform.
• Write production-quality code and deploy on AWS cloud with CI/CD and IaC tools.
• Collaborate with cross-functional teams and document designs for Day 2 operations handover.

Skills

ETL/ELT development

Data pipeline design

Data governance

DevOps practices (CI/CD)

Communication with non-technical Stake

Education

Degree in Computer Science, Data Engineering, Information Systems or a related field

Tools

AWS Glue

AWS Step Functions

AWS Lambda

Amazon S3

Apache Iceberg

Terraform

CloudFormation

Microsoft Purview

Unity Catalog

Job description

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.