Senior Data Engineer — Azure Cloud ETL & Analytics

EY; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Ernst & Young Advisory Services Sdn Bhd is seeking a Data Engineer (Senior Associate) to design, build, and optimize scalable data solutions across cloud platforms. You will work closely with business and technical stakeholders to develop reliable data pipelines and enable data-driven insights.

The role focuses on ETL/ELT, data modelling, and governance, with hands-on experience in Azure Synapse Analytics and Azure Data Factory, plus Python and SQL proficiency.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Experience in data engineering, data integration, data warehousing, or related disciplines.
• Hands-on experience with Azure Synapse Analytics and Azure Data Factory (ADF).
• Proficiency in Python and SQL.
• Experience designing, building, and maintaining ETL/ELT data pipelines.
• Experience engaging stakeholders to gather requirements and translate business needs into technical solutions.
• Understanding of data modelling and cloud-based data platforms.
• Strong written and verbal communication skills, with the ability to engage effectively with technical and non-technical stakeholders.
• Experience in business analysis, including process documentation and requirements management.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes across cloud data platforms.
• Develop and optimize data models, transformations, and workflows using Python and SQL.
• Collaborate with business stakeholders, analytics teams, and reporting teams to understand data requirements and deliver effective data solutions.
• Translate business requirements into technical specifications and data engineering solutions.
• Ensure data is structured and accessible for analytics, reporting, and downstream consumption.
• Monitor, troubleshoot, and improve the performance, reliability, and scalability of data pipelines and storage solutions.
• Contribute to data quality, governance, and engineering best practices.
• Support or lead requirements gathering, stakeholder engagement, and process documentation activities

Skills

Python

SQL

ETL/ELT pipelines

Data modelling

Stakeholder engagement

Education

Bachelor's or Master's in Computer Science or related field

Tools

Azure Synapse Analytics

Azure Data Factory

Databricks

Snowflake

Power BI

Microsoft Azure

Job description

Ernst & Young Advisory Services Sdn Bhd is seeking a Data Engineer (Senior Associate) to design, build, and optimize scalable data solutions across cloud platforms. You will work closely with business and technical stakeholders to develop reliable data pipelines and enable data-driven insights.

The role focuses on ETL/ELT, data modelling, and governance, with hands-on experience in Azure Synapse Analytics and Azure Data Factory, plus Python and SQL proficiency.