Data Platform Engineer, R&D

Procter & Gamble; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Procter & Gamble located in Singapore is seeking an experienced data engineering professional to build and operate scalable scientific data pipelines that connect diverse data types, from omics to formulation, for analytics and AI discovery.

You will own data pipelines, governance, and interfaces, ensuring reliable data availability and operational support across analytics platforms within a complex scientific data foundation.

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: Implement metadata, provenance, versioning, identity resolution, access, and data-quality controls.
• Operate Scalable Data Services: Build and maintain interfaces among repositories, knowledge graphs, analytical tools, computational models, and AI workflows.

Skills

Python

SQL

Data pipelines

Cloud platforms

APIs

Data quality

Metadata provenance

Education

Bachelor/Master/PhD in CS/Data Eng/SE

Job description

Job Location SINGAPORE TC-BIOPOLIS

Job Description Overview of role You will have the opportunity to build and operate the scalable scientific data foundation connecting consumer, biological, OMICS, assay, formulation, and performance data. You will be responsible to deliver reliable, traceable, and scalable pipelines and services that reduce manual handling and provide trusted data for analytics, computational biology, predictive modeling, and AI-supported discovery. You will own data pipelines, interfaces, technical controls, data availability, reliability, operational support, and scalability. If this sounds exciting to you, read on!

Key Responsibilities

1. Engineer Scientific Data Pipelines Build scalable pipelines to ingest, transform, standardize, and connect scientific data. Integrate laboratory, OMICS, imaging, assay, phenotype, formulation, consumer, and performance datasets. Automate data movement into governed analytical environments. Translate approved data-product requirements into maintainable technical designs.
2. Implement Trusted Data Controls Implement metadata, provenance, versioning, identity resolution, access, and data-quality controls Maintain traceability to samples, methods, experimental conditions, transformations, and source systems Implement approved semantic and ontology requirements Test transformations, interfaces, and controls for reliable downstream use
3. Operate Scalable Data Services Build and maintain interfaces among repositories, knowledge graphs, analytical tools, computational models, and AI workflows Monitor data availability, pipeline performance, failures, and dependencies Resolve bottlenecks affecting data access, reuse, and analytical readiness Own operational support and reliability for pipelines, interfaces, and data services

Job Qualifications

• Bachelors, Masters or PhD degree 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. Experience with structured and unstructured data, databases, APIs, and cloud‑based environments. Understanding of metadata, provenance, data quality, versioning, access controls, testing, and operational support.
• Preferred Qualifications Familiarity with orchestration, data lakes, warehouses, lakehouses, APIs, and cloud platforms Experience implementing semantic models, ontologies, knowledge graphs, or FAIR data practices Experience engineering biological, OMICS, imaging, laboratory, healthcare, or complex scientific data Experience building data foundations for analytics, machine learning, or AI.

About us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide. Visit http://www.pg.com to know more. Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas. We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

Job Schedule Full time

Job Number R000159381

Job Segmentation Experienced Professionals P&G was founded over 180 years ago as a simple soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of talented teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.