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Hybrid Technical Data Analyst - Building Production-Grade Pipelines
Build and deploy production-grade data pipelines in Python/SQL, using Airflow/dbt and FastAPI/Flask to turn prototypes into scalable analytics services.
DATA SCIENTIST AND AI ENGINEER WITH DATABRICKS
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
Senior Data & Machine Learning Engineer
Build and productionize ML models and data services that power real-time credit and fraud decisions for SMEs, using Python, FastAPI, SQL, and AWS.
AI Engineer / Data Scientist – GenAI & LLMs
Build and deploy GenAI assistants for corporate banking using LLMs, RAG pipelines, and prompt engineering to enable natural-language queries over client data and support decision-making.
Remote Data Scientist & MLOps Engineer
Build and deploy ML models and data pipelines, then expose them via FastAPI services in a fully remote role.
AI Data Platform Engineer
Builds and maintains AI-powered data pipelines and semantic layers for a banking-focused tech platform, integrating structured and unstructured data with LLMs and graph databases.
Data Engineer (Python) | APIs, Analytics & ML
Build and maintain data pipelines, APIs, and dashboards in Python to extract, process, and expose analytics for scalable solutions.
ML Data Engineer - End-to-End Production Pipelines
Build and maintain end-to-end ML pipelines and production APIs for regulatory, clinical, and manufacturing workflows using Python, FastAPI/Flask, and MLOps practices in Madrid.
Senior Data Engineer (LLM & RAG)
Senior Data Engineer builds scalable pipelines, modernizes LLM architectures, and implements RAG systems to enhance data quality and enable advanced analytics for a telecom group.
Data Engineer – Clinical Trials
Build and maintain scalable data pipelines and ML systems for clinical trials, turning raw data into production-grade solutions that support trial design, patient recruitment, and real-time monitoring.
Data Engineer Python
Builds data pipelines and APIs in Python/FastAPI, integrates Elasticsearch/Kibana dashboards, and optionally applies ML/LLMs for a new data product.
Data Engineer MLE
Build and maintain scalable data pipelines and production-grade ML systems for clinical trials, pharmacovigilance, and drug manufacturing at a global pharma company.
Applied AI Full-Stack Engineer: Build AI-Driven Pharma Tools
Builds backend services in Python/FastAPI and integrates AI workflows for pharma-focused AI tools.
Desarrollador/a Full-Stack Web (Svelte + FastAPI / .NET) - Nivel Medio
Build engineering software UIs (3D visualization, CAD/FEM tools) and REST APIs in Python (FastAPI) or C# (.NET), modernizing legacy .NET apps while collaborating on architecture decisions.
Full Stack Engineer Senior (React -Python - AWS - (3 meses - Temporal 100% REMOTO)
Senior Full Stack Engineer building end-to-end React/Python apps on AWS for 3-month PoCs that go live quickly in an agile, high-impact environment.
Data Engineer
Build and optimize large-scale data pipelines and lakes on AWS Databricks, orchestrating ETL workflows and ensuring data quality for a global risk-intelligence platform.
Senior Full-Stack Dev (Python & React) – Automotive Impact
Builds full-stack Python (FastAPI) and React/TypeScript apps for automotive projects, querying BigQuery and running CI/CD with Docker and GitHub Actions.
Full Stack Software Engineer (Python & React) Tech Lead
Tech Lead role building scalable cloud platforms for IoT remote monitoring using Python (FastAPI) and React, deploying to cloud environments and collaborating with global teams.
IoT Full-Stack Engineer (Python & React) – Tech Lead
Tech Lead role building scalable cloud-based IoT solutions using Python (FastAPI) and React, deploying across cloud platforms and collaborating with cross-functional teams.
Full Stack Junior Engineer (Python + React) – Híbrido (Almussafes)
Build and maintain full-stack applications using React/TypeScript for the frontend and Python for backend services, working in a hybrid setup with a focus on industrial-sector projects.