Data Engineer Internship (m/f/x)

Posted 5 Hours Ago
Be an Early Applicant
Hiring Remotely in Office, Machaze, Manica, MOZ
Remote
1K-1K Annually
Internship
AdTech • Beauty • Marketing Tech • Retail • Pharmaceutical
The Role
Data Engineer Intern supporting end-to-end analytics solutions in Power BI. Responsibilities include building reports, semantic data models, and visualizations; connecting to Databricks and other data sources; cleaning and validating data with SQL and Python; and improving data quality and reporting reliability. The 12-month internship provides mentorship and hands-on experience translating business needs into reliable, user-friendly business intelligence solutions.
Summary Generated by Built In

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

Skills Required

  • Currently enrolled in or recently completed a Bachelor's or Master's degree in Data Analytics, Business Analytics, Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • Foundational Power BI skills, including report development, visualizations, and data modelling.
  • Understanding of data visualization principles and ability to create clear, intuitive, user-friendly reports.
  • Foundational SQL and Python skills for data cleaning, transformation, validation, and analysis.
  • Understanding of data quality concepts and strong attention to accuracy, consistency, and detail.
  • Fluency in Portuguese and strong English communication skills.
  • Collaborative mindset and ability to translate business needs into analytical solutions.
  • Awareness of Git, GitHub, data pipelines, or other basic data engineering practices.
  • Hands-on experience connecting Power BI to Databricks or other cloud and enterprise data sources.
  • Availability for a 12-month internship.

Procter & Gamble Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Procter & Gamble and has not been reviewed or approved by Procter & Gamble.

  • Fair & Transparent Compensation — Compensation is considered competitive and benchmarked against top industry peers, supported by formal pay‑equity audits and stated transparent principles. Feedback suggests pay is a strong draw, with raises described as attainable and benefits starting from day one of training.
  • Healthcare Strength — Health coverage is broad and immediate, including medical, dental, vision, life and disability insurance, with mental‑health and telemedicine offerings expanded recently. This breadth and day‑one access contribute to a perception of reliable, comprehensive care.
  • Parental & Family Support — Parental leave is inclusive under a global framework for all parents, with added recovery time for birth mothers. Adoption, fertility, childcare support and eldercare services further strengthen family support.

Procter & Gamble Insights

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The Company
HQ: Cincinnati, OH
117,512 Employees

What We Do

Procter & Gamble Company is an American multi-national consumer goods corporation. P&G was founded over 180 years ago as a soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands, including Always®, Charmin®, Braun®, Fairy®, Febreze®, Gillette®, Head & Shoulders®, Oral B®, Pantene®, Pampers®, Tide®, and Vicks®. The design, development, growth and success of these products—and many more—is thanks to the innovative and insightful minds of our people. From Day 1, you’ll help make everyday life easier for our 5 billion consumers through billion dollar brands. With our large global footprint, there are many opportunities to work with P&G in multiple locations. We offer opportunities in approximately 70 countries and continually aim to attract, reward and advance the finest people in the world. As a "build from within"​ organization, we see 95% of our people start at an entry level and progress through the organization. Here, we want you to get your career off to a fast start. That's why we don't have any rotational development programs or gradual ramping-up periods: you’ll be able—and encouraged—to dive right in from day 1. Join us and help make life better through meaningful work that makes an impact from Day 1.

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