Data Engineer

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 important 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 quantitative field.
• 4-6 yrs of experience with data engineering responsibilities and tasks.
• Experience working in cross-functional teams and with business stakeholders; strong communication and collaboration skills
  Strong experience with ETL tools (Microsoft Fabric, Fabric Data Engineering, Databricks, Analysis Services,); SQL database design / architecture / management; and data cataglog technology (Purview). Relevant certifications will constitute a preferential parameter for selection.
• Experience with common AI agents development frameworks and tools (Fabric Data Agents, AI Foundry, Copilot Studio, MCP protocol). Relevant certifications will constitute a preferential parameter for selection.
• Experience with databases and data lake design principles and programming languages including [SQL, PL/SQL, others] for relational databases is required. Knowledge of Python would be a plus.
• Experience with PowerBI for data visualization.
• Familiarity with big data technologies (Spark, Hadoop, etc), cloud computing platforms (MS Azure) and DevOps.
• Understanding data security and compliance.
• Fluent in English;Other languages and international experience a plus.

Job Referral Code - B

What We Offer:

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About Ferrero:

Ferrero began its journey in the small town of Alba in Piedmont, Italy, in 1946. Today, it is one of the world’s largest sweet-packaged food companies, with many iconic brands sold in countries all over the world. Find out more about Ferrero at ferrero.com.

DE&I at Ferrero:

Ferrero is committed to building a diverse and inclusive culture in which all employees feel welcomed and appreciated and have the same opportunities. We believe all our people are equally talented in their own way. In nurturing the curiosity and natural abilities of our employees, we provide them, generation after generation, the means to succeed personally and professionally, enabling them to craft their journey at Ferrero. The diversity of our talents is what makes our work environment multicultural, innovative, and highly rewarding.
Find out more here.