Data Platform Engineer Working Student (m/w/d)

Trusteq Gmbh · Münchenjunior

En corto

▸Desarrollas plataformas de datos nativas en Databricks con arquitectura lakehouse.
▸Implementas pipelines de datos (Bronze/Silver/Gold) y Gestion de gobernanza con Unity Catalog.
▸Trabajas con CI/CD, IaC y herramientas modernas en entornos de datos cloud.

Excellent German and English language skills (at least C1 level in both languages)

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓Estudiante de carrera en IT, Ciencia de Datos o similar.
✓Conocimientos sólidos en Python y SQL.
✓Experiencia básica con Databricks o plataformas cloud (Azure/AWS/GCP).
✓Interés en lakehouse, gobernanza de datos y CI/CD.
✓Comunicación efectiva en alemán e inglés (C1 mínimo).
✓Capacidad para trabajar al menos 50% presencial en Colonia o Múnich.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

DatabricksUnity CatalogAuto LoaderDatabricks Asset Bundles (DAB)CI/CD pipelinesPythonSQLGitInfrastructure as Code (IaC)Azure/AWS/GCP

¿A quién escribirle en Trusteq Gmbh?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

YOUR TASKS You support the design and development of Databricks-native data platforms and lakehouse architectures for internal projects and client engagements. You contribute to implementing medallion architectures (Bronze, Silver, and Gold), including Auto Loader-based data ingestion. You support the development of data governance concepts using tools such as Unity Catalog, including access control and permission models. You help automate deployments using Databricks Asset Bundles (DAB) and CI/CD pipelines. You contribute to developing data quality frameworks and monitoring solutions for production data platforms. You support the technical documentation of platform architectures and internal best practices. You contribute to internal tooling and demonstrator projects, actively helping shape and strengthen our Data Platform practice. YOUR PROFIL You are currently enrolled in an IT-related degree programme, such as Computer Science, Business Information Systems, Data Engineering, Data Science, or a related discipline. You have good knowledge of Python and SQL. Initial experience with Databricks and/or cloud data platforms such as Azure, AWS, or GCP is an advantage. You are interested in topics such as data lakehouses, data governance, Infrastructure as Code, and CI/CD. You have a basic understanding of data modelling and data integration processes (ETL/ELT). Experience with Git and version control is desirable. You work independently and in a structured manner and demonstrate strong teamwork and communication skills. You have excellent German and English language skills (at least C1 level in both languages). You are able to work from our Cologne or Munich office at least 50% of the time YOUR BENEFITS Supportive Team Culture: Team cohesion is important to us – we support one another and foster a healthy office culture. Our event team organizes regular after-work events to encourage exchange and connection beyond the workplace. Early Ownership & Responsibility: From day one, you will take on exciting tasks with real responsibility – whether on your project or by contributing to internal initiatives. You actively help shape our organization. Clear Career Development Paths: You will find an environment that supports, challenges, and advances your professional growth. We offer clearly defined career paths and transparent requirements for each level. Creative Work Environment: We give you the freedom and time to develop creative solutions and provide the best and most modern hardware (Apple or Windows) to support your work. Flexible Working & Vacation Policy: Work remotely and adjust your working hours flexibly to fit around your studies. Find more English Speaking Jobs in Germany on Arbeitnow

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