Description
Summary:
This internship offers hands-on experience in modern data management, driving digital transformation and automation initiatives for future AI capabilities within a collaborative international team.
Highlights:
1. Real Work, Real Impact: contribute from day one in essential tasks
2. Learn Industry Tools: develop practical skills in analytics & problem-solving
3. Mentorship That Matters: work alongside experienced professionals
Are you ready to use your **Management or Computer Science Degree** to **launch Your Career?**
**3 x IEFP Internships** available within: **Master Data, Data Governance \& Data Analytics**
**Location:** Porto, Hipercentro Areosa Business Park
**Hybrid Model:** (3 days in office)
**Duration:** 6 months
**Application Close Date:** Friday 20 th February
**Start date: Monday 17** **rd** **March**
IEFP fixed monthly gross amount of €1,181\.69
PLEASE NOTE: Resumes MUST be submitted in English – we are an international business environment
**All candidates MUST be registered with IEFP and be able to produce evidence of this, along with their degree qualification in Portuguese, at time of interview.**
**We will be making decisions and offers shortly after each interview so don’t wait too long to apply in case you miss out**
**What You’ll Be Doing:**
**Using your** **Management degree** **as a Master Data intern you will be working with Supplier, Customer and Master Data** creating and maintaining the data quality of supplier/customer accounts according to our standards (internal Procurement and Commercial Policies)
**Using your Computer Science degree as a Data Analytics Intern you** **will:**
* H elp the team turn data into clear, useful insights.
* Build and update Power BI dashboards.
* Work with business data to make sure it’s accurate and easy to understand.
* Clean and prepare data for reports.
* Help answer data questions from stakeholders.
* Support simple reporting and analysis tasks.
* This internship will help you learn how to use data and Power BI to support real business decisions.
**Using your Computer Science degree as a Data Governance \& Analytics intern, you will be part of the team that ensures data becomes a true strategic asset for our global organization.**
You will learn how to build the foundations of Data Governance by organizing, structuring, and maintaining critical business data to ensure its accuracy, consistency, and usability across the company.
You will support activities such as:
* Helping shape and implement our Data Governance framework
* Working on data quality monitoring, validation, and root\-cause analysis
* Supporting the definition of data standards, processes, and metadata
* Learning how catalogue data asset and create data product.
* Participating in scaling our governance framework using modern, market\-leading tools and technologies
* Assisting with dashboards, reporting, and insights for process improvement
**This internship is designed to give you hands\-on experience in the foundations of modern data management, showing how high‑quality data drives digital transformation, automation initiatives needed for future AI capabilities.**
**Why choose these internships?**
* **Real Work, Real Impact**
You'll contribute from day one – this is not a shadowing role. Your support will be essential in real tasks across your chosen department
* **Learn Industry Tools**
You’ll work with leading software and develop practical skills in **analytics, time management, communication** , and **problem\-solving** .
* **Mentorship That Matters**
Work side\-by\-side with experienced professionals who are genuinely invested in your development. Build lasting connections across a **collaborative international team** .
* **Work Hard, Celebrate Harder**
Founded in 2020, **formerly GKN Automotive, now** **DAUCH** **, our Global Business Services center situated in Porto** supports our global operations in Finance, Procurement, HR, and IT. With 300\+ employees and around 15 different nationalities, we foster an inclusive culture built on our values: Ingenious, Collaborative, Driven, Principled.