Scientific Data Platform Engineer

Procter & Gamble; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Procter & Gamble in Singapore is seeking an engineer to build and operate scalable scientific data pipelines and services connecting diverse data sources for analytics, AI-supported discovery, and decision making.

You will own data pipelines, metadata and data quality controls, and ensure reliability, traceability, and operational support across laboratory, OMICS, imaging, and consumer datasets. Strong programming and cloud experience are essential.

Qualifications

• Bachelor's/Master's/PhD in Computer Science, Data Engineering, Software Engineering, or a related field.
• Strong hands-on experience building data pipelines, integrations, and scalable data services.
• Proficiency in Python, SQL, or comparable data-engineering technologies.

Responsibilities

• Engineer Scientific Data Pipelines: Build scalable pipelines to ingest, transform, standardize, and connect scientific data.
• Implement Trusted Data Controls: metadata, provenance, versioning, access, and data-quality controls.
• Operate Scalable Data Services: Maintain interfaces among repositories, knowledge graphs, analytical tools, AI workflows; monitor performance.

Skills

Python

Data pipelines

SQL

Cloud platforms

Education

Bachelor's/Master's/PhD in Computer Science or Data Engineering

Tools

APIs

Hadoop/Spark

Knowledge graphs

Job description

Procter & Gamble in Singapore is seeking an engineer to build and operate scalable scientific data pipelines and services connecting diverse data sources for analytics, AI-supported discovery, and decision making.

You will own data pipelines, metadata and data quality controls, and ensure reliability, traceability, and operational support across laboratory, OMICS, imaging, and consumer datasets. Strong programming and cloud experience are essential.