Job Location
JIJONA PLANTJob Description
We are looking for a Data Engineering Intern in Jijona Plant 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
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.
- Proficient in Spanish language and able to conduct business in English as well.
- Valid Driver’s license.
Job Schedule
Full timeJob Number
R000156073Job Segmentation
InternshipsStarting Pay / Salary Range
€1.200,00 / monthSkills Required
- Bachelor's degree (completed or in progress)
- Python programming skills
- SQL programming skills
- Core statistics (probability basics, sampling, confidence intervals)
- Understanding of regression and classification fundamentals
- Proficient in Spanish and able to conduct business in English
- Valid Driver's license
- Cloud basics
- Databricks experience
- Experience with Power BI or other reporting tools
- Active interest in AI/ML trends and hands-on experimentation
Procter & Gamble Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Procter & Gamble and has not been reviewed or approved by Procter & Gamble.
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Fair & Transparent Compensation — Compensation is considered competitive and benchmarked against top industry peers, supported by formal pay‑equity audits and stated transparent principles. Feedback suggests pay is a strong draw, with raises described as attainable and benefits starting from day one of training.
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Healthcare Strength — Health coverage is broad and immediate, including medical, dental, vision, life and disability insurance, with mental‑health and telemedicine offerings expanded recently. This breadth and day‑one access contribute to a perception of reliable, comprehensive care.
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Parental & Family Support — Parental leave is inclusive under a global framework for all parents, with added recovery time for birth mothers. Adoption, fertility, childcare support and eldercare services further strengthen family support.
Procter & Gamble Insights
What We Do
Procter & Gamble Company is an American multi-national consumer goods corporation. P&G was founded over 180 years ago as a soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands, including Always®, Charmin®, Braun®, Fairy®, Febreze®, Gillette®, Head & Shoulders®, Oral B®, Pantene®, Pampers®, Tide®, and Vicks®. The design, development, growth and success of these products—and many more—is thanks to the innovative and insightful minds of our people. From Day 1, you’ll help make everyday life easier for our 5 billion consumers through billion dollar brands. With our large global footprint, there are many opportunities to work with P&G in multiple locations. We offer opportunities in approximately 70 countries and continually aim to attract, reward and advance the finest people in the world. As a "build from within" organization, we see 95% of our people start at an entry level and progress through the organization. Here, we want you to get your career off to a fast start. That's why we don't have any rotational development programs or gradual ramping-up periods: you’ll be able—and encouraged—to dive right in from day 1. Join us and help make life better through meaningful work that makes an impact from Day 1.
