DATA SCIENTIST AND AI ENGINEER WITH DATABRICKS
Hybrid · Madrid, Madrid, Spain
Madrid, Madrid, SpainHybridFull TimeMid LevelMasters DegreeConsulting ServicesUnknown
Type
Full Time
Level
Mid Level
Education
Masters Degree
Company size
Unknown
Industry
Consulting Services
Job Summary
AI Engineer – Generative AI & Databricks role designing end-to-end AI solutions, developing data pipelines and lakehouse architectures, implementing RAG with open-source LLMs (Qwen) and Databricks ecosystem; work with PySpark, Python, SQL, Postgres; contribute to internal AI Community; fluent Spanish and English. Hybrid remote work model in Madrid, Spain, with collaboration across multidisciplinary teams and client-facing projects.
Required Qualifications
- Master’s Degree in Computer Engineering, Mathematical Engineering, Computer Science, Statistics, Data Science, Artificial Intelligence, Telecommunications Engineering or related STEM disciplines
- Strong quantitative mindset, analytical skills and problem-solving capabilities
- Solid programming experience in Python
- Strong hands-on experience with PySpark for distributed data processing
- Practical experience working with Databricks, including notebooks, jobs, clusters, Delta Lake and data pipeline development
- Experience designing and implementing ETL/ELT pipelines in lakehouse or cloud data environments
- Strong knowledge of SQL and relational databases
- Hands-on experience with Postgres, including data modeling, query design and integration with analytical or AI workloads
- Experience processing structured and unstructured data, including text, documents, images or other enterprise data sources
- Knowledge of Generative AI techniques and Large Language Models
- Hands-on experience using open-source LLMs, preferably Qwen or similar model families
- Experience building solutions based on Retrieval-Augmented Generation, embeddings, vector search and semantic search
- Knowledge of prompt engineering techniques and LLM orchestration patterns
- Experience integrating AI models into applications, APIs, data workflows or business processes
- Experience with version control systems such as Git
- Strong understanding of model evaluation, data quality, monitoring and responsible AI principles
- Fluent professional proficiency in Spanish and English
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