Senior Data Engineer: End-to-End Pipelines & Architecture

ScienTec Consulting Pte Ltd; Singapore; Hybrid; SGD 74,000 - 123,000; Full time

Job summary

ScienTec Consulting Pte Ltd is seeking a Senior Software Engineer (Data Engineering) to join a data-focused team within a Singapore government agency. You will own data pipelines end-to-end and influence architectural decisions beyond fixed specs.

Responsibilities include building scalable pipelines for batch and streaming, modeling data, ensuring quality and governance, and collaborating on deployment and AI-enabled features with stakeholders. Hybrid work arrangement is available.

Qualifications

• 5–7 years of hands-on software/data engineering experience.
• Experience building data pipelines for batch and streaming.
• Production backend systems experience.
• Ability to design APIs and architecture.
• Experience with cloud data platforms.

Responsibilities

• Own data pipelines from collection to downstream availability.
• Design data structures to support operational and analytical needs.
• Build tooling to monitor data quality, reliability, governance.
• Contribute to system and product architecture with the team.
• Design for AI-driven or retrieval-based features future-proofing.
• Convey technical trade-offs to the team and stakeholders.
• Collaborate on platform deployment and decisions with engineers and business.
• Handle data responsibly in a regulated public sector environment.

Skills

Data engineering

Data pipelines

API design

System architecture

Cloud platforms

Team leadership

Tools

Databricks

Delta Lake

Unity Catalog

Cloud deployment tooling

Job description

ScienTec Consulting Pte Ltd is seeking a Senior Software Engineer (Data Engineering) to join a data-focused team within a Singapore government agency. You will own data pipelines end-to-end and influence architectural decisions beyond fixed specs.

Responsibilities include building scalable pipelines for batch and streaming, modeling data, ensuring quality and governance, and collaborating on deployment and AI-enabled features with stakeholders. Hybrid work arrangement is available.