Senior GenAI Engineer - Databricks (m/f/*)

Ultra Tendency; Madrid; Híbrido; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading data engineering consultancy in Madrid seeks a Senior GenAI Engineer to design and implement advanced AI solutions on the Databricks Lakehouse Platform. This role involves building robust ML pipelines and collaborating across teams to develop impactful use cases. The ideal candidate should have 3-5 years of relevant experience, strong Python skills, and proficiency in both Spanish and English. Flexible working arrangements, including fully remote options, are available.

Servicios

Flexible work options

Educational resources including paid certifications

Global team events

Formación

• 3–5 years of experience in solution engineering or similar hands-on technical roles.
• Hands-on experience with GenAI tools and frameworks.
• Experience building and deploying GenAI solutions in production.

Responsabilidades

• Design and implement GenAI solutions on the Databricks Lakehouse Platform.
• Build and maintain RAG pipelines.
• Collaborate with data engineers, ML engineers, and business stakeholders.

Conocimientos

GenAI tools and frameworks

Python

Collaboration skills

Communication in Spanish

Communication in English

Educación

Bachelor's degree in a relevant field

Herramientas

Databricks

OpenAI

Hugging Face Transformers

Descripción del empleo

Madrid, Madrid, Spain

Our Engineering community is growing, and we’re now looking for a Senior GenAI Engineer - Databricks (m/f/*) to join our team in Spain, supporting our global growth.

As a Senior GenAI Engineer (m/f/*), you will lead the design and implementation of advanced data and AI solutions on the Databricks Lakehouse Platform. Your focus will lie in building robust ML pipelines, enabling GenAI capabilities, and delivering production-grade solutions that support data-driven innovation at scale.

WHAT WE OFFER

• Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Spain)
• A chance to accelerate your career and work with outstanding colleagues in a supportive learning community split across 3 continents
• Contribute your ideas to our unique projects and make an impact by turning them into reality
• Balance your work and personal life through our workflow organization and decide yourself if you workat home, in the office, or on a hybrid setup
• Annual performance review, and regular feedback cycles, generating distinct value by connecting colleagues through networks rather than hierarchies
• Educational resources such as paid certifications, unlimited access to Udemy Business, etc.
• Local, virtual, and global team events, in which UT colleagues become acquainted with one another

WHAT YOU’LL DO

• Design and implement GenAI solutions on the Databricks Lakehouse Platform, leveraging LLMs, embedding models, and vector search capabilities.
• Build and maintain RAG pipelines , including text preprocessing, embedding generation, and retrieval using vector databases.
• Work with Databricks’ Foundation Model APIs , MLflow, and other AI tooling to prototype and deploy GenAI applications.
• Collaborate with data engineers, ML engineers, and business stakeholders to build impactful GenAI use cases - (e.g., chatbots, document Q&A, code assist, summarization).
• Evaluate and fine-tune foundation models, manage prompt engineering, and optimize performance.
• Contribute to the development of GenAI best practices across model selection, security, governance, and cost-efficiency.

WHAT YOU’LL BRING

• 3–5 years of experience in solution engineering or similar hands‑on technical roles.
• Hands‑on experience with GenAI tools and frameworks , such as OpenAI, Hugging Face Transformers, LangChain, or similar.
• Experience building and deploying GenAI solutions in production or experimental environments.
• Familiarity with Databricks AI/GenAI stack (Foundation Model APIs, MLflow, Unity Catalog, Vector Search).
• Strong Python skills and good understanding of LLMs , tokenization, embedding models, and prompt engineering.
• Comfort working with unstructured data (text, documents, JSON) and modern GenAI architectures (RAG, LLMOps).
• Excellent collaboration and communication skills to work across AI, data, and product teams.
• Professional Spanish & English communication skills (C1‑level, written and spoken).

Nice to have

• Familiarity with Lakehouse AI , Unity Catalog for GenAI governance, and Databricks MosaicML.
• Background in NLP, question answering, summarization , or GenAI product development.

Did we pique your interest, or do you have any questions?

Ultra Tendency is an international premier Data Engineering consultancy forBig Data, Cloud, Streaming,IIoT andMicroservices. We design, build, and operate large‑scale data‑driven applications for major enterprises such as the European Central Bank, HUK‑Coburg, Deutsche Telekom, and Europe’s largest car manufacturer. Founded in Germany in 2010, UT has developed a reliable client base and now runs 8 branches in 7 countries across 3 continents.

We do more than just leverage tech, we build it. At Ultra Tendency we contribute source code to +20 open‑source projects includingAnsible, Terraform,NiFi, andKafka. Our impact on tech and business is there for anyone to see. Enterprises seek out Ultra Tendency because we solve the problems others cannot.

We love the challenge: together, we tackle diverse and unique projects you will find nowhere else. In our knowledge community, you will be a part of a supportive network, not a hierarchy. Constant learning and feedback are our drivers for stable development. With us you can develop your individual career through work‑life balance.

We evaluate your application based on your skills and corresponding business requirements. Ultra Tendency welcomes applications from qualified candidates regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age.

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