Azure Databricks Data Engineer

PageGroup Corporation Solutions (Malaysia) Sdn Bhd; Singapore; On-site; SGD 78,000 - 123,000; Full time

Job summary

PageGroup Corporation Solutions (Malaysia) Sdn Bhd seeks an Azure Data Engineer for an 18‑month on-site contract in Singapore. You will design, build, and maintain scalable data pipelines on Microsoft Azure, handling ingestion, transformation, and integration from multiple sources.

You will develop data models, support warehousing, and assure data quality, security, and reliability. Collaboration with analytics teams for dashboards and reporting is key.

Qualifications

• Bachelor's degree in CS/IS/Engineering or equivalent
• Strong experience with Azure data services and pipelines
• Proficient in data modeling and data warehousing concepts
• Hands-on ETL/ELT development and optimization
• Experience collaborating with analytics teams for dashboards and reporting
• Solid SQL skills; Python or Scala programming
• Knowledge of cloud security and data governance best practices
• Excellent communication and ability to work in on-site teams

Responsibilities

• Design, build, and maintain scalable data pipelines on Microsoft Azure
• Develop and optimize data models and support data warehousing solutions
• Implement ETL/ELT processes and monitor production workflows
• Ensure data quality, reliability, and security across environments
• Collaborate with business and analytics teams to understand data needs
• Document technical approaches and contribute to engineering best practices

Skills

Azure data services

Data modeling

ETL/ELT

Data analytics

SQL

Python/Scala

Data security & governance

Cross-functional collaboration

Education

Bachelor's degree in Computer Science / Information Systems / Engineering

Tools

Azure Data Factory

Azure Synapse

Azure Databricks

Power BI

Job description

Role De ion

The Azure Data Engineer role is a full-time, 18‑month contract position based on-site in Singapore. The role involves designing, building, and maintaining scalable data pipelines on Microsoft Azure, including ingestion, transformation, and integration of data from multiple sources. The Azure Data Engineer will develop and optimize data models, support data warehousing solutions, and ensure data quality, reliability, and security across environments. Day-to-day responsibilities include collaborating with business and analytics teams to understand data requirements, implementing ETL processes, monitoring performance, and troubleshooting issues in production workflows. The role also includes preparing technical documentation, contributing to best practices, and supporting continuous improvement of data engineering standards.

Qualifications

• Strong data engineering skills, including experience with Azure data services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks) and pipeline orchestration.
• Proficiency in data modeling and data warehousing concepts, including designing schemas and optimizing storage for analytics workloads.
• Hands‑on experience with Extract Transform Load (ETL) processes, including building, maintaining, and optimizing ETL/ELT workflows.
• Capability in data analytics, with the ability to collaborate with data analysts and data scientists to enable reporting, dashboards, and advanced analytics.
• Strong skills in SQL and at least one programming language commonly used in data engineering (such as Python or Scala).
• Experience with cloud security, data governance, and best practices for data quality, monitoring, and incident resolution.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
• Effective communication and collaboration skills, with the ability to work in cross‑functional teams and an on‑site environment.
• Experience in large‑scale or enterprise data environments and prior work with BI tools (e.g., Power BI) is an advantage.