Senior Data Engineer — Azure Data Platform & Pipelines

ERNI; Mandaluyong; Hybrid; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

Private HMO and insurance from day one

5-year milestone trip to European ERNI

13th-month pay

Free training and certifications

Employee snacks and beverages

Career development opportunities

Job summary

ERNI is seeking a data integration specialist to design, implement, and maintain Azure-based data pipelines. You will work with analysts to map data, ensure accuracy, and document all data workflows.

The role combines hands-on development with collaboration across IT and business teams in a hybrid setup in Metro Manila. Ideal candidates bring Azure Data Factory, Databricks, Python or Java/Node.js, and experience with CI/CD and Azure DevOps.

Qualifications

• Bachelor's degree in computer science, information systems or information technology.
• Strong expertise in the Azure Data ecosystem and data integration.
• Experience with REST APIs in enterprise contexts and CI/CD pipelines.
• Hands-on with Azure DevOps for version control and deployment automation.
• Excellent English communication and cross-team collaboration.

Responsibilities

• Design, develop and test data pipelines to extract, transform and load data.
• Collaborate with analysts to map and transform data for integration into target models.
• Ensure data accuracy with testing, validation and quality checks.
• Produce designs and documentation for data pipelines and workflows.
• Maintain CI/CD pipelines and support cloud-native Azure solutions.

Skills

Azure Data Factory

Azure Data Lake

Databricks

Azure SQL DB

Azure Blob Storage

Python

Java

C#

Node.js

Golang

REST API

CI/CD

Azure DevOps

Scrum/Agile

English Communications

Education

BSc in CS/IS/IT

Tools

Azure Data Factory

Azure Data Lake

Databricks

Azure SQL Databases

Azure Blob Storage

Azure DevOps

Job description

ERNI is seeking a data integration specialist to design, implement, and maintain Azure-based data pipelines. You will work with analysts to map data, ensure accuracy, and document all data workflows.

The role combines hands-on development with collaboration across IT and business teams in a hybrid setup in Metro Manila. Ideal candidates bring Azure Data Factory, Databricks, Python or Java/Node.js, and experience with CI/CD and Azure DevOps.