Senior Data Platform Engineer — Pipelines & Reliability

Randstad Singapore; Singapore; On-site; SGD 85,000 - 120,000; Full time

Job summary

Randstad Singapore seeks a data platform engineer to drive the development, integration, and operational performance of enterprise data platforms. You will design, build, and optimize batch and streaming data ingestion pipelines on modern cloud platforms, and develop transformation workflows using Python and SQL.

You will oversee production readiness, monitoring, and incident triage to maintain data quality, while implementing knowledge base structures and vector storage to support generative

Qualifications

• Degree in Computer Science, Information Technology, Engineering, or a related field.
• Background in data platform engineering with experience building and operating production-grade batch or streaming pipelines.
• Hands-on proficiency with Python and SQL for data transformation.
• Practical exposure to large-scale data processing frameworks and knowledge retrieval systems.
• Strong problem-solving abilities and communication skills to collaborate with internal technical stakeholders.

Responsibilities

• Develop, integrate, and oversee production-grade enterprise data platforms.
• Design, build, and optimize batch and streaming data ingestion pipelines on cloud platforms.
• Create transformation workflows and data validation processes using Python/SQL.
• Oversee production readiness, monitoring, and incident triage for reliability and data quality.
• Implement and manage knowledge base structures and vector storage for generative tech solutions.
• Collaborate with cross-functional architecture and engineering teams to safely integrate diverse sources into cloud environments.

Skills

Python

SQL

Data pipelines

Cloud platforms

Knowledge retrieval systems

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Vector storage

Cloud platforms

Job description

Randstad Singapore seeks a data platform engineer to drive the development, integration, and operational performance of enterprise data platforms. You will design, build, and optimize batch and streaming data ingestion pipelines on modern cloud platforms, and develop transformation workflows using Python and SQL.

You will oversee production readiness, monitoring, and incident triage to maintain data quality, while implementing knowledge base structures and vector storage to support generative