Global IT Data Quality & Data Catalog Intern

Campari Group today is a major player in the global branded spirits industry, with a portfolio of over 50 premium and super premium brands, marketed and distributed in over 190 markets around the world, with leading positions in Europe and the Americas.

Headquartered in Milan, Italy, Campari Group owns 25 plants worldwide and has its own distribution network in 26 countries, and employs approximately 4,700 people.

Shares of the parent company Davide Campari - Milano N.V. are listed on the Italian Stock Exchange since 2001. Campari Group is today the sixth-largest player worldwide in the premium spirits industry.

Role Overview

This internship position is designed to support the Campari Data Solutions and Delivery team by contributing to the overall success of analytics initiatives. The role will involve extensive collaboration, knowledge sharing, and gaining a deep understanding of data quality processes within the company. 

In this role, you will assist in supporting the development of a reliable data catalogby learning how to establish accurate and consistent data and understanding data pipelines and their lineage. You will gain hands-on experience in areas such as data access and ingestion, data pipelines and processing, integration, modeling, database design, and data visualization, as well as an introduction to advanced analytics. 

As an intern, you will have the opportunity to contribute to the development of the data catalog, data quality framework, and data governance framework,  learning best practices in the process.  

You will work closely with both business stakeholders and technical teams, as well as project managers and external vendors.  

Key Responsibilities

• Data catalog development: Support business and IT stakeholders to develop and curate a data catalog solution, developing data domains, data products and enriching data assets.  

• Data quality issues: Assist in investigating and enhancing a data quality framework by resolving flagged data quality issues, working with the business on low data quality, and resolving theese using best practices.  

• Data quality risks: Support the evaluation of data quality and accuracy, in order to contribute to create plans to mitigate identified risks. 

• Maintain and audit data sources: Support the maintenance of original and improved data sources for auditing purposes, including the creation of Power BI dashboards to ensure data transparency and integrity. 

• Analyze and harmonize data: Assist in identifying, analyzing, and harmonizing data from SAP, Microsoft, external, and open data sources for use in business applications and data analytics products. 

• Improve and manage data quality: Support the technical improvement of data quality by helping to manage and govern data quality solutions and reports, ensuring continuous improvement. 

• Vendor coordination: Provide assistance in managing relationships with data providers and developers, learning the fundamentals of vendor management. 

• Support to business change initiatives: support the execution of critical program implementations to ensure their success. 

Education & Skills

• Bachelor or Master’s degree in IT, Electronics, Communication, Systems Engineering, or similar STEM disciplines.

• Proficiency in English is required; knowledge of Italian is a plus. 

• Basic understanding of Data Science, Data Engineering, Data quality,  and Automation and affinity with Data Analysis and Data Visualization is a plus. 

• Basic knowledge of programming or scripting languages such as Python R, or SQL, and familiarity with tools like Power BI is a plus. 

• Previous experience or coursework in handling and assembling data to meet business requirements is a plus.

Soft Skills & Behaviors

• Passion for data quality and data engineering practices, with a strong desire to learn about how enterprises support data and analytics at scale. 
• Familiarity with basic data quality standards and an eagerness to understand regulatory requirements. 
• Enthusiasm for learning about automating data quality solutions and creating intelligent data products. 
• Interest in exploring and understanding various data quality products available in the market. 
• A strong interest in cloud-based platforms like Microsoft Azure and a willingness to explore machine learning and AI services. 
• Excellent analytical and problem-solving skills. 
• Ability to work independently as a self-starter, and within a team environment. 
• Good Communication skills- Written and Verbal. 

• You are open to feedback and able to adapt when priorities change.

Our commitment to Diversity & Inclusion:

At Campari Group we believe in building more value together, thus we see diversity in all forms as a source of enrichment. Our employment policies and practices ensure that we are committed to providing equal employment opportunities in all aspects of employment without regard to any individual’s race, religion, creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, sexual orientation, gender identity or characteristics or expression, political affiliation or activity, age, veteran status, citizenship, or any other characteristic protected by law.

Campari Group believes that fair compensation and equal opportunities are crucial for employees’ well-being, empowerment, and engagement.  Our efforts to ensure fair pay have earned us the Fair Pay Certification by Fair Pay Workplace, an independent organization dedicated to dismantling pay disparities based on gender, race and their intersection.

Note to applicants:

Your application will be assessed based on your abilities, expertise, general knowledge and experience, not because of any confidential, proprietary or trade secret information you may possess. You must not disclose to Campari Group any such information. In the event that you are asked a question that cannot be answered without disclosure of any confidential, proprietary or trade secret information (including from a current or prior employer or their vendors or customers), you must decline to answer the question.

Notice to third party agencies:

Please refrain from cold-calling or emailing our executive leadership team or the HR community directly. The Talent Acquisition department manages centralized recruiting operations globally, including the selection and management of external suppliers. Currently, our preferred supplier list is at full capacity. To ensure we have your information on file for future consideration, we kindly request that you complete the online form provided here.