Connect over MCP — free, no account needed to search.Data & AI engineer with 4+ years of experience who designs, develops and implements AI solutions — intelligent agents, RAG architectures and data pipelines — in multi-cloud environments, based in Madrid, Spain.
Data & AI Engineer at Cognodata working on a Master Data Management program for an energy-sector client: building Python data services and APIs, data quality rules, matching/deduplication and document processing, while integrating generative AI for data enrichment and validation. Hybrid role based in Madrid (min. 2 days/week in office).
Senior Data & Analytics Engineer at EY working in the Microsoft ecosystem (Fabric/Azure): designing data architectures and star schema models, collaborating with Power BI and AI teams on scalable data solutions for national and international projects, using Git and CI/CD while mentoring junior/mid profiles. Requires 3+ years of experience.
Senior Data Scientist Lead at Cognodata, a Customer Science and Marketing Automation company in Madrid. The role sets AI/ML strategy and governance, leads multidisciplinary data teams, and oversees model industrialization (~70% leadership), with ~30% hands-on technical work on Azure architectures, Databricks pipelines, MLOps, and GenAI/LLM/RAG initiatives.
Practia Global is hiring a Senior Data Engineer with generative AI experience to build scalable data pipelines and LLM-based solutions on Azure — designing RAG architectures, integrating Azure OpenAI and Azure AI Search, developing in Python, and helping industrialize and deploy ML models alongside data science teams.
Bia Energy is hiring a Data Engineer in Bogotá to design, build, and maintain scalable and secure data infrastructure, leading ETL/ELT pipelines and data lake architecture for large-scale, data-driven decision making. The core stack includes Spark, Hadoop, SQL/NoSQL databases, and cloud platforms.
BCI Banco is hiring a senior data engineer for its Experience team to design and build data and AI solutions that create standout experiences for MACHBANK customers across the app and assisted channels, partnering with Customer Success, Product, and Analytics. Key work involves cloud infra (AWS/GCP/Azure), AI/LLM agents, data pipelines, and CI/CD.
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