Staff Data Engineer — Cloud Pipelines & BI

Ernst & Young Advisory Services Sdn Bhd; Taguig; On-site; PHP 500,000 - 900,000; Full time

Job summary

EY GDS Data Engineering Team is seeking a Staff Data Engineer to help build scalable data ingestion and processing pipelines in the cloud. You’ll work with modern platforms and collaborate with global teams to deliver impact across the firm.

Strong SQL, Python/PySpark, and data tooling are valued. This role offers exposure to a fast-paced consulting environment and opportunities for growth across EY Consulting practices worldwide.

Qualifications

• Experience in developing cloud data ingestion and processing pipelines using cloud data services.
• Hands-on experience with BI tools: Power BI, Tableau, Looker, or Qlik.
• Proficiency in Python, PySpark, Scala, JavaScript and SQL.
• Familiar with CI/CD development using DevOps/Git.
• Ability to learn new technologies to solve complex problems in a fast-paced environment.
• Strong analytical skills and effective communication for requirements gathering.

Skills

Azure Data Factory

Databricks

Python

SQL

CI/CD

Communication

Tools

Power BI

Tableau

Looker

Qlik

Job description

EY GDS Data Engineering Team is seeking a Staff Data Engineer to help build scalable data ingestion and processing pipelines in the cloud. You’ll work with modern platforms and collaborate with global teams to deliver impact across the firm.

Strong SQL, Python/PySpark, and data tooling are valued. This role offers exposure to a fast-paced consulting environment and opportunities for growth across EY Consulting practices worldwide.