Data Engineer: Build Scalable Wellness Data Pipelines

Michael Page; Philippines; On-site; PHP 600,000 - 1,200,000; Full time

Benefits offered by this job

Career growth opportunities

Comprehensive benefits

Large organization in retail

Collaborative work environment

Job summary

Michael Page is seeking a Data Engineer to design and maintain scalable data pipelines for health-focused retail analytics. You will build storage solutions, integrate diverse data sources, and ensure data integrity and compliance across the platform.

The role requires strong Python, SQL and DAX skills, plus hands-on experience with data modeling, ETL, and cloud platforms like AWS and Databricks. You’ll collaborate with analysts and scientists to deliver reliable datasets and documentation.

Qualifications

• Proficiency in Python, SQL and DAX for data engineering tasks.
• Strong understanding of data modeling, ETL processes and DB management.
• Experience with big data frameworks and cloud platforms such as AWS and Databricks.

Responsibilities

• Develop and maintain scalable data pipelines to process large data volumes.
• Design, implement and optimize data storage to support analytics.
• Collaborate with cross-functional teams to unify data sources.
• Ensure data integrity, security and regulatory compliance.
• Monitor, troubleshoot and ensure seamless pipeline operation.
• Work with analysts/scientists to provide clean datasets for analysis.
• Document data engineering processes and maintain tech docs.
• Evaluate and adopt new tools to enhance capabilities.

Skills

Python

SQL

DAX

Data modeling

ETL

Database management

Tools

AWS

Databricks

Job description

Michael Page is seeking a Data Engineer to design and maintain scalable data pipelines for health-focused retail analytics. You will build storage solutions, integrate diverse data sources, and ensure data integrity and compliance across the platform.

The role requires strong Python, SQL and DAX skills, plus hands-on experience with data modeling, ETL, and cloud platforms like AWS and Databricks. You’ll collaborate with analysts and scientists to deliver reliable datasets and documentation.