Data Engineer (Azure)

Michael Page; Makati; On-site; Full time

Benefits offered by this job

Competitive salary and benefits package

Fixed morning shift

Guaranteed 16th-month pay

Permanent position within a well-established organization

Job summary

A leading recruitment firm is seeking a Data Engineer to work within the Azure ecosystem at a top bank in the Philippines. Responsibilities include designing and maintaining data ingestion pipelines, optimizing workflows with Python and PySpark, and collaborating with cross-functional teams. The successful candidate will have hands-on experience in Databricks and a proven record in building data pipelines. This position offers a competitive salary, a fixed morning shift, and a guaranteed 16th-month pay.

Qualifications

• Deep, hands-on experience in Databricks.
• Proficiency in PySpark and Python.
• Proven track record of building data pipelines end-to-end.

Responsibilities

• Design, develop, and maintain data ingestion pipelines.
• Build and optimize data processing workflows using Python and PySpark.
• Collaborate with senior engineers and cross-functional teams.

Skills

Databricks

PySpark

Python

Data ingestion

Data processing

Data orchestration and automation

Tools

Azure Data Factory

Azure Data Lake

Job description

• Competitive Package and Benefits.
• Work for one of the leading banks in the Philippines.

About Our Client

One of the leading banks in the Philippines.

Job Description

• Design, develop, and maintain data ingestion pipelines from various source systems into the enterprise platform.
• Work heavily within the Azure ecosystem, including:
  • Azure Data Factory (ADF)
  • Databricks
  • Azure Data Lake Storage (ADLS)
• Build and optimize data processing workflows using Python and PySpark.
• Implement and manage pipelines across the Medallion Architecture (Bronze, Silver, Gold layers).
• Write production-grade code to support scalable, reliable data engineering solutions.
• Collaborate with senior engineers and cross-functional teams on ongoing and upcoming initiatives.

The Successful Applicant

A successful Data Engineer specializing in Azure should have:

• Deep, hands-on experience in Databricks
• Proficiency in PySpark and Python
• Proven track record of building data pipelines end-to-end

Strong Experience with

• Data ingestion
• Data processing
• Data orchestration and automation
• Azure Data Lake and flat-tree structures

Additional Experience

• Knowledge of Medallion Architecture
• Experience with AWS Databricks is a plus

What's on Offer

• A competitive salary and benefits package
• A fixed morning shift
• Guaranteed 16th-month pay.
• Permanent position within a well-established organization in the financial services sector.