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A consultant BI Data Engineer builds and maintains data platforms for a European institution: ETL/ELT pipelines, data warehouse/lakehouse architectures, and Power BI reporting. Core stack is Microsoft Azure (Synapse, Data Factory, ADLS Gen2, Fabric), Python, SQL, and Power BI, with Git/Azure DevOps in an agile setup.
Develops and maintains Python applications and participates in AI/Machine Learning projects for high-level banking-sector clients, designing data-driven models and integrating APIs. Requires 2+ years of professional Python; hybrid role based in Bizkaia, Spain (4 days remote, 1 day onsite).
Data Engineer with a Machine Learning focus joining Ayesa Digital's advanced analytics project for the banking sector, working hybrid from Madrid. Day to day: building scalable PySpark data pipelines, complex SQL modeling, AWS services (Athena, SageMaker), end-to-end ML pipelines, and MLOps practices with MLflow.
A senior engineer builds both embedded software and full-stack web applications (C++/Python/Java, Qt/VueJS, Embedded Linux, REST APIs, Docker/Kubernetes) for a European Commission project in Ispra, supporting data acquisition, analysis, and visualization for EU institutions.