(Senior) Consultant Data & AI (f/m/d)

Ruhrdot Gmbh·Headoffice Onsite/Hybrid Essensenior

In short

→Consultor senior en Data & AI que guía arquitecturas modernas con Databricks y cloud (Azure/AWS).
→Diseña plataformas, impulsa transformaciones digitales y lidera proyectos completos con clientes.
→Destaca por su capacidad técnica combinada con liderazgo en consultoría estratégica y cero dependencia.

Good English skills required

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The questions they'll ask you

1. ¿Cómo diseñarías una arquitectura Lakehouse en Databricks para un cliente con datos híbridos en Azure?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

✓Experiencia en ingeniería de datos o arquitectura de datos con al menos 5 años.
✓Experiencia sólida con Databricks y una nube (Azure o AWS).
✓Conocimiento avanzado de arquitecturas como Lakehouse, Medallion, Data Mesh.
✓Capacidad para traducir requisitos técnicos y de negocio en soluciones claras.
✓Habilidades de facilitación en talleres y presentaciones a clientes.
✓Nivel alto de alemán y buen inglés para comunicación técnica.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

DatabricksAzureAWSPythonSQLSparkPySparkLakehouseMedallion ArchitectureData Mesh

Who should you write to at Ruhrdot Gmbh?

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Your mission We have challenging tasks for you: As a (Senior) Consultant Data & AI, you will guide our clients from the initial question to architecture and the concrete implementation of modern Data & AI solutions. You navigate confidently between consulting, architecture, and technology while taking ownership of key building blocks in our client projects. It’s not just about implementing technical requirements. You challenge existing approaches, develop viable target visions, and help our clients anchor Data & AI sustainably within their organization and system landscape. Your profile What we are looking for You enjoy structuring complex Data & AI topics, making technical decisions understandable, and developing sustainable solutions together with clients. You can work both conceptually and dive deep technically. Ideally, you bring to the table: Several years of professional experience in data engineering, data architecture, Data & AI consulting, or a comparable role Sound experience in the design and implementation of modern cloud data platforms Excellent knowledge of Databricks and experience with at least one cloud platform, ideally Azure or AWS A very strong understanding of modern data architectures and concepts such as Lakehouse, Medallion Architecture, Data Mesh, or Data Products Experience in data modeling, data integration, and data governance Good knowledge of Python, SQL, Spark, or PySpark The ability to translate complex business and technical requirements into understandable and actionable solution concepts Experience in taking independent ownership of workstreams, subprojects, or larger work packages A confident demeanor when interacting with business departments, IT, and management Enjoyment in facilitating workshops and co-creating technical and strategic topics with clients A degree in Business Informatics, Computer Science, Data Science, or a comparable qualification A structured, self-reliant, and solution-oriented way of working Very good German skills and good English skills What we would also be happy to see: Experience with Microsoft Fabric or other modern Data & AI platforms Experience with Data Strategy, Target Operating Models, or Data Governance concepts Knowledge of Infrastructure as Code, CI/CD, and Cloud Architecture Experience with Machine Learning, GenAI, RAG, or AI platform architectures Initial experience in functional leadership or mentoring colleagues Experience in presales, proposal creation, or client development Certifications in the context of Databricks, Azure, or AWS Why us?

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