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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Working Student for Data Architecture - **Company:** Awakening Discovery And Elevating Humanity - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Microsoft Azure, Continuous Integration, Data Architecture, Data Validation, Data Dictionary, Data Integration, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Standard Sql, Runbook, Data Streaming, Snowflake, Git, Integration Tests, AWS Data Analytics, Data Pipelines - **Published:** July 17, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role Familiarity or exposure to Snowflake and AWS data services (Glue, Lambda, DMS) is expected; these are core to our Data & AI ecosystem. Hands-on or coursework knowledge of ETL/ELT concepts and tooling such as Informatica (PowerCenter / IICS) and warehouse automation tools (e.g., dbt, Coalesce) is a strong advantage. Understanding of data modelling patterns, data flows and the end-to-end lifecycle from ingestion to consumption; experience with testing data integrations is beneficial. Good SQL skills; basic Python experience is desirable. Basic understanding of CI/CD concepts and experience (or interest) with Azure DevOps / Git for pipelines and deployments. Fluent English and the ability to work in virtual, cross-functional agile teams. ## Description Ready to shape the future of data in R&D? As a Working Student for Data Architecture you will support the team to design efficient, scalable data architectures and pipelines that enable analytics and AI across Pharmaceutical R&D. Based on communication with R&D stakeholders you will help translate functional requirements into technical concepts and implement components together with data engineers. You will gain hands-on project experience across the R&D data value chain and work in a global, agile environment., Support design and implementation of data models, data pipelines and ETL/ELT flows that feed reporting, analytics and AI solutions. Assist in building and operating data repositories (e.g., Snowflake) and cloud-based data processing (AWS services) together with senior architects and engineers. Collaborate with product owners, data engineers, business analysts and domain users to translate requirements and ensure correct solution delivery. Help create and maintain architecture blueprints, standards, data dictionaries and best practices for the team. Support automated CI/CD for data pipelines and integration tests (Azure DevOps / Git / warehouse automation tools). Assist in data quality checks, basic troubleshooting and third-level support tasks for R&D data systems. Contribute to documentation, knowledge sharing and operational run-books. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Technical Documentation - How Can I Write Them Better and Why Should I Care?](https://www.wearedevelopers.com/videos/681-technical-documentation-how-can-i-write-them-better-and-why-should-i-care) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)