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Data Engineer for Shelf Analytics MŁ
Successfully
Req. VR-120228
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.
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 (classes, inheritance, reusable modules)
Develop and maintain unit tests to ensure code quality and reliability
Work with Spark SQL and SQL Server Management Studio to create and optimize complex queries
Create and manage Databricks workflows, clusters, databases, and tables
Handle data storage and access management in Azure Data Lake Storage (ADLS), including ACL permissions
Collaborate using GitHub, following CI/CD best practices and working with GitHub Actions
Support continuous improvement of data engineering standards, performance, and scalability
Must have
Strong programming skills in Python and PySpark
Hands-on experience with Databricks (workflows, clusters, tables, databases)
Solid knowledge of SQL and experience with Spark SQL and SQL Server Management Studio
Experience with pandas, dbx, and unit testing frameworks
Practical experience working with Azure Storage (ADLS) and access control (ACLs)
Proficiency with GitHub, including CI/CD pipelines and GitHub Actions
Ability to work independently, analyze existing solutions, and propose improvements
Nice to have
Experience with retail, CPG, or shelf analytics–related solutions
Familiarity with large-scale data processing and analytics platforms
Strong communication skills and a proactive, problem-solving mindset
Languages
English: B2 Upper Intermediate
Seniority
Senior
*The acquisition of rights to the above benefits depends on the form of cooperation. Benefits apply to those employed under a contract of employment.
**Please note that relocation is not available for all open positions. At Luxoft Poland it is possible to work remotely only from the territory of Poland.
***Options offered by the Polish government.
Remote Poland, Poland
Req. VR-120228
BI Engineering
HLS & Consumer industry
27/01/2026
Req. VR-120228
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