Data Engineer for Shelf Analytics MŁ

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Remote Bulgaria, Bulgaria

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BI Engineering

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HLS & Consumer industry

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27/01/2026

Req. VR-120228

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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
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Design, develop, and maintain data pipelines and workflows using Databricks and PySpark

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Read, understand, and extend existing codebases; independently develop new components for Databricks workflows

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Implement object-oriented Python solutions (classes, inheritance, reusable modules)

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Develop and maintain unit tests to ensure code quality and reliability

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Work with Spark SQL and SQL Server Management Studio to create and optimize complex queries

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Create and manage Databricks workflows, clusters, databases, and tables

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Handle data storage and access management in Azure Data Lake Storage (ADLS), including ACL permissions

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Collaborate using GitHub, following CI/CD best practices and working with GitHub Actions

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Support continuous improvement of data engineering standards, performance, and scalability

Skills

Must have

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Strong programming skills in Python and PySpark

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Hands-on experience with Databricks (workflows, clusters, tables, databases)

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Solid knowledge of SQL and experience with Spark SQL and SQL Server Management Studio

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Experience with pandas, dbx, and unit testing frameworks

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Practical experience working with Azure Storage (ADLS) and access control (ACLs)

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Proficiency with GitHub, including CI/CD pipelines and GitHub Actions

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Ability to work independently, analyze existing solutions, and propose improvements

Nice to have

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Experience with retail, CPG, or shelf analytics–related solutions

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Familiarity with large-scale data processing and analytics platforms

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Strong communication skills and a proactive, problem-solving mindset

Other
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Languages

English: B2 Upper Intermediate

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Seniority

Senior

Remote Bulgaria, Bulgaria

Req. VR-120228

BI Engineering

HLS & Consumer industry

27/01/2026

Req. VR-120228

Apply for Data Engineer for Shelf Analytics MŁ in Remote Bulgaria

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