Data Engineer: Cloud Pipelines, Governance & AI Ops

RECRUIT EXPRESS PTE LTD; Singapore; On-site; SGD 130,000 - 180,000; Full time

Job summary

RECRUIT EXPRESS PTE LTD is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines across cloud platforms. You will implement data quality controls, governance, and security practices to support trusted analytics and automated decision-making.

The role requires 10+ years in data engineering, strong Python/SQL skills, and experience with distributed processing frameworks. You will collaborate with data leads and business stakeholders to translate requirements into

Qualifications

• Bachelor's degree in a relevant quantitative/technical field; Master's degree is advantageous.
• Minimum 10 years of experience in data engineering, data management, data integration, or related disciplines.
• Strong programming skills in Python and SQL; experience with cloud data architectures.

Responsibilities

• Design, develop, and maintain scalable data pipelines across diverse sources and platforms.
• Implement data quality controls, validation, governance, and security practices.
• Transform, cleanse, aggregate, and enrich data to support analytics and business needs.
• Collaborate with data leads, tech teams, and stakeholders to translate requirements into solutions.
• Optimise data platforms for performance, scalability, cost, and reliability.

Skills

Python

SQL

Distributed data processing

Data governance

BI visualization

Data security

Stakeholder management

Problem solving

Communication

Cloud data architectures

Education

Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Systems

Master's degree advantageous

Job description

RECRUIT EXPRESS PTE LTD is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines across cloud platforms. You will implement data quality controls, governance, and security practices to support trusted analytics and automated decision-making.

The role requires 10+ years in data engineering, strong Python/SQL skills, and experience with distributed processing frameworks. You will collaborate with data leads and business stakeholders to translate requirements into