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Senior data engineer (8–12 years of experience) leading data governance and data architecture initiatives, building pipelines and platforms on Google Cloud Platform for a major European banking client. Core stack: GCP, BigQuery, Airflow and hands-on Python.
Senior Data Engineer (8-12 years) leading data governance, quality, and architecture initiatives and building scalable data pipelines and platforms on Google Cloud Platform (BigQuery, Airflow, Spark, Cloud Composer) for a major European banking client. Requires advanced conversational English (B2-C1).
Senior Data Engineer at GFT Technologies España in Valencia, leading data governance and data architecture initiatives. Day to day involves building and maintaining scalable data pipelines and platforms on Google Cloud Platform for a major European banking client, using BigQuery, Airflow and hands-on Python.
GFT Technologies España busca un Data Engineer con al menos 5 años de experiencia en proyectos Big Data para unirse a un equipo diverso, dinámico y orientado a soluciones innovadoras. Las cualificaciones, habilidades y…
GFT Technologies España busca un/a SAS Data Engineer para gestionar migraciones a DWH, optimizar el rendimiento y refactorizar código SAS. Cualquier información adicional que necesite para este trabajo se encuentra en…
Actualmente tenemos un puesto vacante para un/a Data Engineer que quiera unirse a GFT. Buscamos una persona entusiasta y dinámica, con capacidad para trabajar en equipo y aportar soluciones innovadoras en un entorno…
Data Engineer/Data Architect at GFT Technologies in Madrid, designing and implementing data pipelines and scalable Big Data architectures, optimizing ETL/ELT, and ensuring data governance and quality. Core stack: Python, Spark, Kafka, advanced SQL, Data Lake/Delta Lake, AWS/Azure, Airflow/dbt.
Senior Data Engineer maintaining and evolving a corporate Data Lake framework on AWS, building batch and streaming pipelines with Spark, Python, Kafka, and SQL.
Lead AI and Data Science teams, design analytical strategies, and implement advanced GenAI solutions using Python, MLOps, deep learning frameworks (TensorFlow/PyTorch), LangChain, and cloud platforms (AWS/GCP/Azure) in a Madrid-based Center of Excellence.
Build scalable Python microservices and AI agent systems, integrating generative AI models and cloud services (AWS) for enterprise platforms.
Lead a team building generative AI and data-science solutions using Python, LLMOps, and cloud services; design multi-agent patterns, reasoning loops, and scalable microservices.
Build and optimize SAS data pipelines, migrate legacy systems to data warehouses, and refactor SAS code in a hybrid/remote role.
SAS Data Engineer supporting users during DWH migration, refactoring SAS code, and optimizing data access for BI/analytics in an international team.
Build and lead React-based frontend features for banking clients, ensuring high performance, accessibility, and security while mentoring junior developers.
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