> Markdown version of [/jobs/ext/3685514-bi-intenrship](https://www.wearedevelopers.com/jobs/ext/3685514-bi-intenrship). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Bi Intenrship - **Company:** Making Science - **Location:** Madrid, Spain - **Contract:** Internship / Graduate position - **Skills:** Java (Programming Language), Google AdWords, Airflow, Big Data, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Data Visualization, Data Warehousing, Database Queries, Google Analytics, Python (Programming Language), Power BI, Software Tools, Tableau (Software), Qliksense, Google Cloud, Information Technology, Looker Analytics, Data Pipelines - **Published:** October 11, 2026 - **Apply:** https://www.recruit.net/job/bi-intenrship-jobs/113E3B27C127F8DF ## About the Role * Education: Currently pursuing the final years of a bachelor's or master's degree in a relevant technical field (Engineering, Computer Science, Statistics, Mathematics, etc.). * Technical Skills: * Basic knowledge of SQL and a desire to learn about Data Warehousing (DWH) and Datamarts. * Interest in data integration and development, ideally with some academic or personal project experience with Python or Java. * Familiarity or interest in data visualization and modeling tools such as Power BI, Looker, Tableau, or QlikSense. Nice to Have: * * Previous exposure to the industry would be a significant advantage. * Basic knowledge of orchestration tools like DBT and Airflow. * Interest in the digital marketing sector (GA4, Google Ads, etc.). * Intermediate-high level of English (B2/C1). ## Description * Data Architecture & Implementation: You will collaborate on the design and implementation of data solutions in Big Data environments, primarily on platforms like Google Cloud Platform (GCP). * Data Engineering: You will provide support in data integration projects, including ingestion, ETL/ELT processes, and ensuring the integrity of data pipelines. * Data Governance & Quality: You will learn and apply data quality standards and assist in the implementation of control mechanisms * Business Intelligence & Analytics Enablement: You will collaborate in defining and managing KPIs and in the development of dashboards to facilitate decision-making. * Collaboration: You will communicate with different teams to understand their data needs and help translate them into technical solutions