About the Role:

The purpose of the Data Engineer role is to transform diverse and complex data sources into reliable, accessible, and trusted datasets that support Ferrero’s business, digital, and Data & AI transformation objectives. With a primary focus on North American markets, the role will develop and optimize data pipelines across digital, eCommerce, retail, shopper, and third-party data while supporting the ongoing management of Ferrero’s data lake pipelines. Working with cross-functional data and business teams, the Data Engineer will help establish a strong data foundation for analytics, reporting, and data-driven decision-making.

Main Responsibilities:

Build new data pipelines: The Group is implementing new platforms to collect marketing campaigns, global syndicated, eCommerce and Open Innovation R&D; data and the Data Engineer will be part of those project teams to understand the full collection cycle. They will then take over responsibility - together with IT partners - to build data pipelines to bring the data into Ferrero IT architecture for modelling and reporting.





Support A2A, MCP and other technologies that expose data for AI without necessity of ETL pipelines.
An significant part of any new data pipeline or AI-enabling technology will be to automate data quality and business logic implementation and verification. Alignment with AI strategy and architecture, Group masterdata and/or domain data governance will also be required, where relevant.

Support data governance initiatives: The Data Engineer will be responsible for supporting projects related to the standardization of data.

Manage existing pipelines and databases: Working in Group tools to manage existing AI data agents, pipelines and databases on retail panel (“sellout”) and consumer surveys. Perform data extractions and / or visualizations as needed by stakeholders.

About You:

• Master’s degree in computer science, Data Management, Information Systems, Information Science or a related qu

📌 Data Engineer (Pune)
🏢 Ferrero
📍 Pune