Working Student for Data Architecture

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.

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.

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! Inscribirse en esta oferta Recibir ofertas similares por correo electrónico Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies.

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