Data Engineer Internship (Power BI, SQL, Python)

About the role

P&G is looking for a Data Engineer Intern in Lisbon to help develop end-to-end analytics solutions that turn business needs into reliable, user-friendly reporting. The internship lasts 12 months and is full time, with a focus on Power BI, data modelling, data cleaning and data quality. It suits people who like combining analytical thinking with visualization and user experience design.

Key responsibilities

• Translate business requirements into end-to-end data and business intelligence solutions.
• Develop Power BI reports, visualizations and intuitive UI/UX experiences.
• Design and maintain scalable Power BI semantic data models and measures.
• Connect Power BI solutions to Databricks and other business data sources.
• Clean, transform and prepare data using SQL and Python, including creating reusable views.
• Monitor and improve data quality, accuracy, consistency and reporting reliability.

Required profile

• Current enrollment in, or recent completion of, a Bachelor's or Master's program in Data Analytics, Business Analytics, Computer Science, Engineering, Mathematics, Statistics or a related field.
• Fluency in Portuguese and strong communication skills in English.
• Availability for a 12-month internship.
• A collaborative mindset and the ability to turn business needs into analytical solutions.

Required skills

• Foundational Power BI skills, including report development, visualizations and data modelling.
• Good understanding of data visualization principles.
• Foundational SQL and Python for data cleaning, transformation and validation.
• Understanding of data quality concepts.
• Valued: awareness of Git/GitHub, data pipelines or basic data engineering practices, and hands-on experience connecting Power BI to Databricks or other cloud and enterprise data sources.

What we offer

• Responsibility from day 1, contributing to real analytics work that supports business decisions.
• Development opportunities in Power BI, data modelling, visualization, UI/UX, SQL, Python and Databricks-connected analytics.
• Ongoing coaching and mentorship from experienced analytics and data professionals.
• Collaboration with multifunctional and multinational teams.