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Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 16, 2026. Procter & Gamble scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Procter & Gamble is an American consumer goods company founded in Cincinnati in 1837 by a candle maker and a soap maker who had married into the same family. It concentrates on a small number of very large brands across fabric and home care, baby and feminine care, family care, grooming, oral care, personal health and beauty, including Tide, Pampers, Gillette, Oral-B, Head & Shoulders and Olay. Listed on the New York Stock Exchange and a component of the Dow Jones Industrial Average, it is one of the largest advertisers in the world and has repeatedly pruned its portfolio to focus on category-leading brands.

Job Location

LISBON GENERAL OFFICE

Job Description

Are you passionate about turning complex data into clear, trusted, and actionable insights? Do you enjoy combining analytical thinking with strong visualization and user experience design? If so, consider joining P&G as a Data Engineer Intern in Lisbon. This role is for individuals eager to develop business-facing analytics solutions, with a strong focus on Power BI, data modelling, data cleaning, and data quality.

As a Data Engineer Intern, you will help develop end-to-end analytics solutions that transform business needs into reliable and user-friendly reporting. You will build Power BI reports, semantic data models, and visualizations; connect to data sources in Databricks and other platforms; and use SQL and Python to clean, prepare, and validate data. With guidance from experienced colleagues, you will combine strong analytical and design skills with selected data engineering practices.

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.

What We Offer

  • Responsibility from Day 1 - Contribute to real analytics work that supports business decisions from the start.
  • Development Opportunities - Build hands-on experience in Power BI, data modelling, visualization, UI/UX, SQL, Python, and Databricks-connected analytics.
  • Meaningful Work - Turn data into clear insights while strengthening data quality and reporting reliability.
  • Coaching and Mentorship - Receive ongoing guidance from experienced analytics and data professionals.
  • Collaborative Environment - Work with multifunctional and multinational teams that value curiosity, user focus, and practical business impact.

Join Us

Embark on a 12-month journey in Data Engineering, where your contributions will help turn trusted data into clear insights and better business decisions. If you are ready to learn, build, and grow through Power BI, data visualization, modelling, and practical data preparation, we invite you to apply online in English via the link below.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.

Job Qualifications

  • 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.
  • Foundational skills with Power BI, including report development, visualizations, and data modelling.
  • Good understanding of data visualization principles and the ability to create clear, intuitive, and user-friendly reports.
  • Foundational skills in SQL and Python for data cleaning, transformation, validation, and analysis.
  • Understanding data quality concepts and attention to accuracy, consistency, and detail.
  • Fluency in Portuguese and strong communication skills in English.
  • A collaborative mindset, and the ability to translate business needs into analytical solutions.
  • Awareness of Git/GitHub, data pipelines, or other basic data engineering practices is valued.
  • Valued: hands-on experience with connecting Power BI to Databricks or other cloud and enterprise data sources.
  • Availability for 12 months internship.

Job Schedule

Full time

Job Number

R000161204

Job Segmentation

Internships

Starting Pay / Salary Range

€1.200,00 / month
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