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.
Competitive Remuneration – 1200 EUR gross/month + relocation allowance where applicable.
Join Us
Submit your application by clicking the “Apply” button. 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
Bachelor's Degree (completed or in progress) required.
Python and SQL programming skills required.
Core statistics (probability basics, sampling, confidence intervals) required.
Understanding of regression and classification fundamentals required.
Cloud basics and Databricks experience valued.
Experience with Power BI or other reporting tools valued.
Active interest in AI/ML trends and hands-on experimentation (personal projects, courses, or self-study) valued.
Mandatory English proficiency (B2+) required.
Spanish proficiency (B2+) valued.
- Job Segmentation
- Internships
- Starting Pay / Salary Range
- €1.200,00 / month
