This position is at Procter you will also figure out what needs to be built, work with the people who need it to make sure you're solving the right problem, and see the work through from start to finish. You will scope and execute data engineering work end to end gathering requirements, building pipelines, and managing stakeholder expectations ensuring solutions are reliable and aligned with business needs. Your key to success will be your ability to build on and combine soft skills and business understanding with technical skills and use integrative thinking to convey solutions to drive actions with your key business partners across levels and functions.

Key Responsibilities
Build and optimize ETL pipelines. Implement data quality and validation processes. Contribute to data model design. Document solutions, patterns, and standards Statistical data profiling (distributions, outliers, missingness). Help design basic experiments / A/B tests and interpret statistical outcomes. Monitor pipeline and model performance (latency, data drift, metric stability).

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, adaptable, and business-driven environment. Coaching and Mentorship – Receive ongoing guidance from experienced engineers while learning how to deliver resilient, high-quality solutions. Competitive Remuneration – ***
* EUR gross/month + relocation allowance where applicable. Join Us If you are ready to embark on a transformative career journey in Data Engineering, submit your application by clicking the "Apply" button. Step 1 : Application Step 2: Online Assessments Step 3: Interviews: Technical interview (45 minutes) – focused on testing Python, SQL and machine learning/ AI skills 3 Core Interviews (60 minutes each) Our P

📌 Data Engineering Intern (España)
🏢 Procter & Gamble
📍 España