Data Engineer Internship (m/f/x)

Procter & Gamble

Madrid

Presencial

EUR 12.000 - 15.000

Jornada completa

14 días+
Generador de candidaturas

Una candidatura hecha para este puesto de trabajo — un currículum y una carta de presentación adaptados que responden directamente a la oferta.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Relocation allowance
Competitive remuneration

Descripción de la vacante

Procter & Gamble in Madrid is seeking a Data Engineering Intern to scope and execute end-to-end data engineering work, build pipelines, and collaborate with business partners to ensure solutions meet needs.

The role requires Python and SQL, core statistics, and cloud basics with Databricks, plus exposure to Power BI. English proficiency at B2+ is mandatory, Spanish B2+ valued. This is a full-time internship at the MADRID GENERAL OFFICE.

Formación

  • 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 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 (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.

Conocimientos

Python
SQL
Statistics basics
Regression & classification
Cloud basics
Databricks
Power BI
AI/ML interest
English B2+
Spanish B2+

Educación

Bachelor's degree (completed or in progress)

Herramientas

Databricks
Power BI

Descripción del empleo

Job Location MADRID GENERAL OFFICE 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.
Join Us

Embark on a transformative career journey in Data Engineering, where your contributions will help shape PG's data strategy and enable analytics-driven business impact.

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 Schedule

Full time

Job Number R000154644

Job Segmentation Internships

Starting Pay / Salary Range €1.200,00 / month

P&G was founded over 180 years ago as a simple soap and candle company. Today, we's the world's largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of talented teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.

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