Data Engineer for Shelf Analytics MŁ

Project description

We are looking for an experienced Data Engineer to join the Shelf Analytics project – a data-driven application designed to analyze how P&G products are positioned on store shelves. The primary objective of the solution is to improve product visibility, optimize in-store execution, and ultimately increase sales by combining shelf layout data with sales insights. As a Data Engineer, you will play a key role in building, maintaining, and enhancing scalable data pipelines and analytics workflows that power shelf-level insights. You will work closely with analytics and business stakeholders to ensure high-quality, reliable, and performant data solutions.

Responsibilities

• Design, develop, and maintain data pipelines and workflows using Databricks and PySpark
• Read, understand, and extend existing codebases; independently develop new components for Databricks workflows
• Implement object-oriented Python solutions (c...