Working student data architecture

Description

Summary: Support the design of efficient, scalable data architectures and pipelines for R&D, translating requirements into technical concepts and implementing components. Highlights: 1. Shape the future of data in R&D 2. Gain hands-on project experience across the R&D data value chain 3. Real project responsibility and mentorship from senior data architects . **Your Role** ------------- 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. **Key responsibilities** ------------------------ * 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. **Experiences** --------------- * 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. **What we offer** ----------------- * Real project responsibility and mentorship from senior data architects; exposure to Snowflake, AWS and enterprise data tooling. * Opportunity to work across global teams and directly contribute to data solutions that accelerate R\&D. Apply now and become part of a team dedicated to Awakening Discovery and Elevating Humanity!