Data Engineer - Consultant

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

• Build data pipelines that power health-focused retail decisions.
• Work with a mission-driven team promoting wellness and clean living.

About Our Client

The company is a well-established large organization in the retail industry known for its commitment to delivering quality products and services. It has a strong presence in its market and values innovation and excellence in its technology-driven operations.

Job Description

• Develop and maintain scalable data pipelines to process large volumes of data efficiently.
• Design, implement, and optimize data storage solutions to support analytical and business needs.
• Collaborate with cross-functional teams to integrate data from various sources into a unified platform.
• Ensure data integrity, security, and compliance with relevant regulations and standards.
• Monitor and troubleshoot data pipelines and systems to ensure seamless operation.
• Work closely with data analysts and scientists to provide clean, reliable datasets for analysis.
• Document data engineering processes and maintain comprehensive technical documentation.
• Continuously evaluate and adopt new tools and technologies to enhance data engineering capabilities.

The Successful Applicant

A successful Data Engineer should have:

• Proficiency in programming languages such as Python, SQL, and DAX.
• Strong knowledge of data modeling, ETL processes, and database management systems.
• Experience working with big data frameworks and cloud platforms (AWS and Databricks)
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• An understanding of the retail industry would be an advantage.

What's on Offer

• Opportunities for professional growth and skill development.
• Access to comprehensive employee benefits.
• Being part of a large organization in the retail industry with a focus on innovation.
• A supportive and collaborative work environment.