Senior Data Engineers, AI

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

About the company.

A multinational enterprise technology organization delivering scale analytics platforms and cloud infrastructure solutions across regional business markets. The business fosters an environment focused on digital transformation, innovation, and long-term career growth.

About the job.

Step into a key engineering role driving the development, integration, and operational performance of enterprise data platforms.

Design, build, and optimize batch and streaming data ingestion pipelines utilizing modern cloud integration platforms.

Develop transformation workflows and data validation processes using standard programming languages.

Oversee production readiness, monitoring, and incident triage to maintain optimal pipeline reliability and data quality.

Implement and manage knowledge base structures and vector storage to support generative technology solutions.

Partner with cross-functional architecture and engineering teams to integrate diverse source systems safely into cloud environments.

Skills and experience required.

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 programming languages such as 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 effectively with internal technical stakeholders.