The English-language job board for Spain

Data Architect | Data Engineer Internship

On-site in Madrid·Added 23 days ago (last checked 8 Oct)

Capgemini

358 open roles

Apply

Overview

Work mode: On-site, Madrid
English: Required
Education: Master's degree

Visa options

The ad doesn’t mention sponsorship
Not a refusal, but not a yes. Worth asking in your first message.

Find jobs with visa support

Skills

This job advert was originally written in Spanish.

Requirements

Education & certifications

Design, evaluation, and use of data pipelines for specific tasks, such as ingestion from APIs, databases, files, or external services.
Development of data cleaning, validation, transformation, and normalization processes using Python, SQL, or other processing tools.
Comparison of performance and efficiency between different processing methods and technologies (e.g., relational databases vs. NoSQL, batch processes vs. streaming).

The role

Profile we are looking for

We are looking for people pursuing a Master's degree in Big Data or Computer Science, with a high level of English (C1), motivated to develop in a technological and dynamic environment.

General Objectives

Understand and experiment with the technologies, tools, and current processes used in Data Engineering, including data ingestion, transformation, and storage.
Participate in the critical evaluation of the quality, efficiency, and security of data processing within a corporate environment.
Learn best practices for the responsible, secure, and efficient integration of data pipelines and systems in real products and services.

Solution Development and Integration

Design and construction of data pipelines to support use cases such as analytics, reporting, or consumption by internal applications.
Use of orchestration and automation tools (such as Airflow, Prefect, cron, or other internal orchestrators) to manage data flows.
Development of integration solutions between different data sources, including APIs, corporate databases, and external systems.
Integration of data pipelines into backend services developed in Python or other languages, as well as into visualization dashboards or applications (e.g., Power BI, Streamlit, or internal dashboards).

Data Evaluation, Security, and Governance

Design and execution of data quality tests (validations, automated checks, monitoring of integrity and consistency).
Review of ethical and security aspects in data handling: privacy, treatment of sensitive information, permissions, and internal governance.
Documentation of processes, datasets, results, and learnings in a clear and structured manner for the engineering and analytics team.

Hiring process

1 interview

Submitting your application takes 3 to 5 minutes (name, contact details, CV and optional cover letter).
When you accept the offer you receive a pre-boarding plan and an invitation to the monthly RISE welcome event.

About Capgemini

Capgemini is a global leader in consulting, technology services and digital transformation, offering an array of integrated services that combine technology with deep sector expertise. The group describes itself as a global leader in business and technology transformation, powered by AI, and serves industries including aerospace and defense, banking and capital markets, consumer products, energy and utilities, healthcare, insurance, manufacturing, public sector, retail and telecoms.

Its portfolio of brands includes Capgemini Invent, its powerhouse of innovation, design and transformation, Capgemini Engineering, which helps the world's largest innovators engineer the products and services of tomorrow, as well as frog and Sogeti. Its services span cloud, cybersecurity, data and artificial intelligence, digital sovereignty, enterprise management, intelligent industry and sustainable business.

Industry: IT Consulting
Employees: 350,000
Website: capgemini.com

All open roles at Capgemini