Azure Data Engineer: Architect & Optimize Enterprise Data

PM Consulting; Philippines; On-site; PHP 1,004,000 - 1,786,000; Full time

Job summary

PM Consulting seeks an experienced Data Engineering Consultant with deep expertise in the Microsoft Azure ecosystem to architect, develop, and sustain scalable data frameworks for enterprise needs.

You will own end-to-end data pipelines using Azure services, ensure governance and security, optimize performance and cost, and collaborate with clients to translate data requirements into scalable architectures.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 4+ years in the domain.
• 3+ years of consulting or client-facing delivery in Azure data engineering.
• 1+ year hands-on with data ingestion, processing, and analytics pipelines using SQL Server, Azure Synapse Analytics, Azure Databricks, and Microsoft Fabric.

Responsibilities

• Design and build end-to-end data solutions on Azure tailored to business data needs.
• Develop data pipelines for ingestion, transformation, and integration of structured and unstructured data using Spark.
• Implement data security, governance, and privacy controls across Azure platforms.
• Monitor and optimize data workflows for reliability, performance, and cost efficiency.
• Apply Azure best practices to optimize storage and processing across the platform.
• Collaborate with stakeholders to translate data requirements into scalable architectures.

Education

Bachelor's degree in Computer Science or related field

Tools

SQL Server

Azure Synapse Analytics

Azure Databricks

Microsoft Fabric

Azure Data Factory

Azure Functions

Azure Data Lake Storage (ADLS)

OneLake

Spark

Spark SQL

Azure DevOps

Git

VSTS / Azure DevOps Services

Job description

PM Consulting seeks an experienced Data Engineering Consultant with deep expertise in the Microsoft Azure ecosystem to architect, develop, and sustain scalable data frameworks for enterprise needs.

You will own end-to-end data pipelines using Azure services, ensure governance and security, optimize performance and cost, and collaborate with clients to translate data requirements into scalable architectures.