09/15/2026 updated
100 % available
Senior Data Engineer | Databricks & AWS Specialist | Applied AI | 6+ Years
Los Alcázares, Spain
Only remote
Mechanical Engineering | Master Big Data & AnalyticsAbout me
Senior Data & AI Architect +6yrs, designing enterprise-scale data and AI architectures across AWS and Azure. Author of a corporate architecture standard for AI pipelines on Azure. I bridge traditional Big Data with production-grade Generative AI — from data platforms to Azure.
RAGLLMApache AirflowBig DataData ArchitectureAmazon DynamoDBData IntelligenceObject Linking and Embedding (OLE)DataOpsAzure Data LakeApache SparkDatabricks
Executive Summary & Expertise
Senior Data & AI Architect with over 6 years of experience designing enterprise-scale data and AI architectures across AWS and Azure. Author of a corporate architecture standard for AI pipelines on Azure, adopted as organizational reference. I bridge traditional Big Data with production-grade Generative AI — from Spark/Scala data platforms to Azure OpenAI-based GenAI systems operating under strict regulatory compliance (EU AI Act, High Risk classification).
Core Technical Skills
Programming & Scripting: Scala (Expert), Python (Advanced), SQL (Expert), Bash.
Big Data & Processing: Apache Spark, Hadoop, Kafka, OpenSearch, Relevancy Search, Embeddings, Vectorization.
Cloud Platforms: AWS (Redshift, Glue, EMR, Kinesis, Lambda, S3, Athena), Azure (Databricks, Data Factory), Snowflake (Full stack).
Data Orchestration: Apache Airflow, Event-Driven Architectures, CI/CD Pipelines.
AI Reference Technician & Senior Data Engineer (Naturgy, via Bluetab/IBM): Sole author of the corporate architecture standard for AI pipelines on Microsoft Azure — 43 mandatory rules, 5 reference layers, redesigning the industry's AWS reference architecture into a governed, Azure-native model. Designed and built a reusable resilience framework (retry, circuit breaking, dead-letter queue, inference traceability) for production AI systems. Delivered an EU AI Act "High Risk" GenAI pipeline (Azure OpenAI) with full inference traceability and human-in-the-loop review.
Production GenAI (Azure ecosystem): Azure OpenAI (GPT-4o/GPT-5), inference traceability & observability, prompt engineering & versioning, regulatory-compliant AI pipelines (EU AI Act High Risk).
AI & RAG (Applied Innovation): Llama 3.2 (Ollama), Semantic Chunking, OpenSearch Hybrid Search (384-d K-NN + Lexical Boosting), Streamlit, Zero-Trust Data Privacy.
Professional Experience
Senior Data & AI Engineer (Personal R&D): Architected a sovereign, local RAG platform indexing Scala libraries via Llama 3.2 (Ollama) with zero-trust data privacy. Engineered idempotent Python pipelines with semantic chunking and OpenSearch Hybrid Search.
Senior Data Engineer (WM GRUPPE): Acted as SME and Technical Reference for the entire data platform. Designed AWS DataLakeHouses using EMR, Glue, OpenSearch, and Apache Iceberg , leading technical debt refactoring and performance tuning using Scala and Apache Spark.
Senior Data Engineer (Vivo Energy): Full SDLC ownership within the Databricks ecosystem. Developed ETL processes using SQL and designed event-driven architectures for scalable client data management.
Data Engineer (Santander Bank): Developed ETL processes on Azure/Databricks with Spark for the core banking data platform and implemented event-driven orchestration architecture.
Data Engineer (Walter Scott): Designed a Snowflake-based architecture in a Cloud-Native environment with a NO-CODE approach for business users.
Experience
Professional experience5 - 10 years
Freelancer since2026
Languages
EnglishFluentSpanishNative speaker
Project history
Working on Data engineering and AI initiatives for Naturgy's corporate finance division (NaturAI program). Designing and implementing AI-powered solutions across Financial Markets, Consolidation, and Management Control departments. Developing AWS and Azure based data pipelines, building RAG-based document processing systems, and delivering end-to-end AI prototypes from architecture through production deployment. Acting as technical reference for AI integration across business units.
SIDE PROJECTS
Senior Data & AI Engineer (Personal R&D)
Sovereign RAG Platform | Personal Project | 2024 - 2025
- Architected a sovereign, local RAG platform indexing Scala libraries via Llama 3.2 (Ollama) — fully offline, zero-trust.
- Engineered idempotent Python pipelines with semantic chunking and OpenSearch Hybrid Search (384-d K-NN vectors + lexical boosting).
- Managed the full AI lifecycle with a Streamlit UI, ensuring high precision and zero external data exposure.
Senior Data Engineer (SME & Technical Reference)
WM GRUPPE | Remote | 2024 - Present
- Acting as Subject Matter Expert and Technical Reference for the entire data platform.
- Architecting robust AWS DataLakeHouses using EMR, Glue, OpenSearch, and Apache Iceberg.
- Co-leading critical technical debt refactoring and advanced performance tuning using Scala and Apache Spark.
- Delivering highly optimized, maintainable data solutions at enterprise scale.
Certificates
Databricks Data Engineer Associate
Databricks2023
SnowPro Core
Snowflake2022
AWS Cloud Practitioner
AWS2021