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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

If you are ready to embark on a transformative career journey in Data Engineering, submit your application by clicking the “Apply” button.

Have your CV ready to attach (include examples of the challenging experiences you have had both within and outside academia).

Our recruitment process is designed to be transparent and give you a comprehensive look into our team and culture. Here is what you can expect from our selection process:

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&G process is progressive, meaning that we'll move forward one step at a time. Each interview must be successfully completed to advance to the next step. Our recruitment team is dedicated to keeping you informed of your progress.

To learn more about the P&G recruitment process, please visit this link: Hiring Process

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.

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