Data Engineering Manager — Azure, Databricks & AI

DXC Technology; Pateros; On-site; PHP 1,000,000 - 1,300,000; Full time

Benefits offered by this job

Health Insurance (HMO)

Life Insurance

Paid vacation and sick leave

Maternity and paternity leave

Company-sponsored trainings

Flexible working arrangements

Performance-based recognition

Job summary

DXC Technology Philippines is seeking a Data Engineer Associate Manager to design, build, and maintain scalable data pipelines and analytics datasets using Azure Databricks and Microsoft Fabric. The role focuses on ETL/ELT processes for high-volume data supporting semantic data models, reporting, and AI use cases.

You will collaborate with analytics, data science, and business teams to deliver robust data engineering solutions, ensure performant data assets, and enable analytics-ready layers for

Qualifications

• Strong SQL and Python skills.
• Semantic data modeling concepts.
• Experience with Data Warehousing and BI platforms.
• Excellent written and verbal communication skills.

Responsibilities

• Design, build, and maintain scalable data pipelines and analytics datasets using Azure Databricks and Microsoft Fabric.
• Develop and optimize ETL/ELT processes for large data.
• Use SQL, Python, and distributed data processing frameworks for data assets.
• Implement analytics-ready data layers for Power BI and AI solutions.
• Support migration to Azure Databricks and Fabric and collaborate with teams.

Skills

SQL

Python

Semantic data modeling

Data warehousing

BI platforms

Communication skills

Tools

Databricks

PySpark

Scala

Microsoft Fabric

Power BI

Analysis Services

GitHub

Job description

DXC Technology Philippines is seeking a Data Engineer Associate Manager to design, build, and maintain scalable data pipelines and analytics datasets using Azure Databricks and Microsoft Fabric. The role focuses on ETL/ELT processes for high-volume data supporting semantic data models, reporting, and AI use cases.

You will collaborate with analytics, data science, and business teams to deliver robust data engineering solutions, ensure performant data assets, and enable analytics-ready layers for