Cloud Data Engineer — Azure Pipelines & Analytics

ERNST & YOUNG ADVISORY PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Benefits offered by this job

Continuous learning

Flexible working arrangements

Diverse and inclusive culture

Competitive remuneration

Job summary

EY is seeking a Data Engineer to design, build and optimize data pipelines across cloud platforms. You will work with technical and business teams to enable analytics, support data-driven decisions and ensure scalable, reliable data solutions.

Ideal candidates have 4+ years in data engineering, strong Python/SQL skills, and hands-on Azure Synapse experience. Collaboration with stakeholders and a focus on data quality are essential in a dynamic, inclusive setting.

Qualifications

• Bachelor’s degree required in a relevant field.
• 4+ years of experience in data engineering or related roles.
• Hands-on experience with Azure Synapse Analytics.
• Proficiency in Python and SQL.
• Understanding of ETL/ELT, data modeling and cloud platforms.
• Good written and verbal communication with stakeholders.

Responsibilities

• Design, build, and maintain data pipelines and ETL/ELT processes across cloud data platforms.
• Develop and optimize data models, data transformations, and workflows using Python and SQL.
• Collaborate with analytics and reporting teams to structure data for downstream use.
• Translate data requirements from stakeholders into technical solutions.
• Monitor, troubleshoot, and improve performance, reliability, and scalability of data pipelines and storage.
• Contribute to data quality, governance, and continuous improvement initiatives.

Skills

Python

SQL

Cloud data platforms

Communication

Team collaboration

Education

Bachelor’s Degree in relevant discipline

Tools

Azure Synapse Analytics

Databricks

Snowflake

Power BI

Job description

EY is seeking a Data Engineer to design, build and optimize data pipelines across cloud platforms. You will work with technical and business teams to enable analytics, support data-driven decisions and ensure scalable, reliable data solutions.

Ideal candidates have 4+ years in data engineering, strong Python/SQL skills, and hands-on Azure Synapse experience. Collaboration with stakeholders and a focus on data quality are essential in a dynamic, inclusive setting.