Data Engineer Internship (m/f/x)

Procter & Gamble España; Madrid; Presencial; EUR 12.186 - 14.597; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Development Opportunities

Coaching and Mentorship

Collaborative Environment

Competitive Remuneration

Descripción de la vacante

Procter & Gamble España is looking for a Data Engineering Intern based in Madrid. This role involves building and optimizing ETL pipelines, implementing data quality solutions, and collaborating with multifunctional teams. Ideal candidates should possess a Bachelor's Degree and skills in Python and SQL.

Successful interns will gain exposure to modern cloud data engineering practices and receive coaching from experienced engineers while contributing to impactful data projects.

Formación

• Bachelor's Degree (completed or in progress) required.
• Python and SQL programming skills required.
• Core statistics knowledge 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 valued.
• Mandatory English proficiency (B2+) required.
• Spanish proficiency (B2+) valued.

Responsabilidades

• Build and optimize ETL pipelines.
• Implement data quality and validation processes.
• Contribute to data model design.
• Document solutions, patterns, and standards.
• Statistical data profiling.
• Help design A/B tests and interpret outcomes.
• Monitor pipeline and model performance.
• Plan, track, and communicate progress.

Conocimientos

Python

SQL

Core statistics

Understanding of regression

Cloud basics

Databricks

Power BI

Active interest in AI/ML

English proficiency (B2+)

Spanish proficiency (B2+)

Educación

Bachelor's Degree (completed or in progress)

Descripción del empleo

Job Description

We are looking for a Data Engineering Intern who is technically capable and knows how to get things done. In this role, you won't just write code; 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).
• Plan, track, and communicate progress on assigned deliverables.

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.
• Competitive Remuneration – 1200 EUR gross/month + relocation allowance where applicable.

Job Qualifications

• Bachelor's Degree (completed or in progress) required.
• Python and SQLprogramming 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.

Location: MADRID GENERAL OFFICE

Job Schedule: Full time