Job Location
MADRID GENERAL OFFICEJob Description
Are you passionate about building scalable data solutions that turn complex business challenges into trusted insights? Do you have a strong technical mindset, curiosity, and a desire to learn in a real multi-billion business environment? If so, consider joining P&G as a Data Engineer Intern in Madrid. This role is for individuals eager to shape the future of our data strategy by designing, developing, and improving modern data and analytics solutions.
As a Data Engineer Intern, you will contribute to end-to-end analytics applications that help enable high-quality, resilient, and business-relevant data delivery. You will work with modern Microsoft Azure components and tools, develop data pipelines and environments, and collaborate with multifunctional and multinational teams across P&G. With guidance from experienced engineers, you will help build trusted data foundations that support analytics, automation, and AI-enabled use cases.
Key Responsibilities:
- Design and build scalable Data & Analytics solutions in Microsoft Azure to obtain, process, store, and serve trusted data.
- Develop data pipelines and data environments within existing Azure solution designs to generate valuable business insights.
- Support automation and optimization of internal data processes to improve quality, speed, and reliability.
- Collaborate with multifunctional and multinational teams across P&G to deliver business-focused outcomes.
- Contribute code in Python and SQL, following engineering best practices and clean coding standards.
- Use Git/GitHub and CI/CD practices to manage changes and support team delivery workflows.
- Learn and grow through mentorship while contributing to analytics and AI-enabled use cases under guidance.
What We Offer
- Responsibility from Day 1 – Contribute to real data engineering work that supports business decisions and analytics solutions from the start.
- Development Opportunities – Build hands-on experience in modern cloud data engineering, Azure components, Python, SQL, Git/GitHub, and CI/CD practices.
- Meaningful Work – Help strengthen trusted data foundations in a diverse, flexible, and business-driven environment.
- Coaching and Mentorship – Receive ongoing guidance from experienced engineers while learning how to deliver resilient, high-quality solutions.
- Collaborative Environment – Work with multifunctional and multinational teams that value engineering excellence, curiosity, and innovation.
Join Us
Apply by clicking on the button below. To learn more about the P&G recruitment process, please visit this link: Hiring Process.
Embark on a transformative career journey in Data Engineering, where your contributions will help shape P&G’s data strategy and enable analytics-driven business impact. If you are ready to learn, build, and grow through modern cloud data solutions, 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 Computer Science, Mathematics, Software Engineering, or another relevant engineering field.
- Business understanding and strong interest in translating business questions into data and analytics solutions that create measurable impact.
- Strong foundational programming skills in Python and SQL.
- Foundational understanding of cloud technologies, preferably Microsoft Azure.
- Understanding of data modeling and core data engineering concepts.
- Understanding of CI/CD principles and version control using Git/GitHub.
- Effective communication skills in English and a proactive teamwork approach.
- A curiosity-driven mindset with a commitment to learning, quality, and impactful results.
Nice to have:
- Understanding of Spark framework and distributed architecture features and challenges.
- Experience implementing projects with Microsoft Azure stack such as Databricks, Azure Data Factory, Azure Analysis Services, SQL Server, or Azure Synapse.
- Knowledge of Agile and DevOps methodologies.
- Exposure to machine learning concepts or frameworks such as PyTorch or TensorFlow.
Job Schedule
Full timeJob Number
R000153580Job Segmentation
InternshipsStarting Pay / Salary Range
€1.200,00 / monthSkills Required
- Current enrollment in or recent completion of a Bachelor's or Master's in Computer Science, Mathematics, Software Engineering, or related field
- Business understanding and strong interest in translating business questions into data and analytics solutions
- Strong foundational programming skills in Python and SQL
- Foundational understanding of cloud technologies
- Preferably experience or familiarity with Microsoft Azure
- Understanding of data modeling and core data engineering concepts
- Understanding of CI/CD principles and version control using Git/GitHub
- Effective communication skills in English and a proactive teamwork approach
- A curiosity-driven mindset with commitment to learning, quality, and impactful results
- Understanding of Spark framework and distributed architecture (nice to have)
- Experience with Azure stack (Databricks, Azure Data Factory, Azure Analysis Services, SQL Server, or Azure Synapse)
- Knowledge of Agile and DevOps methodologies
- Exposure to machine learning concepts or frameworks such as PyTorch or TensorFlow
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.
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Healthcare Strength — Health coverage is positioned as comprehensive, spanning medical, dental, and vision offerings alongside life and disability options. Mental-health and practical support are reinforced through an EAP that includes confidential counseling and other advisory services.
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Retirement Support — Retirement support is strengthened through profit sharing and retirement-plan access, creating a longer-term wealth-building component beyond base pay. Stock-related programs (such as share purchase and matching structures) further contribute to perceived retirement and savings value.
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Parental & Family Support — Parental leave is described as generous, including fully paid leave for new parents and additional recovery time for birth mothers. Family-oriented time-off options and caregiving supports add to the sense of comprehensive support across life stages.
Procter & Gamble Insights
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.
