Search jobs right inside Claude, ChatGPT or Cursor. Connect freehire over MCP — free, no account needed to search.
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.
Ayesa Digital is hiring a BI Data Engineer to join its international data team supporting a European institution, designing and maintaining data platforms, EDW, Data Lake, and BI solutions. Day-to-day work centers on Azure services, Python, SQL, and Power BI to build scalable pipelines, dashboards, and data models.
Ayesa Digital in Sevilla is hiring a Data Scientist / ML Engineer to build and evaluate machine learning and deep learning models end to end — data preparation, feature selection, training and evaluation — on AI and predictive-models projects. Core stack: Python, NumPy, pandas, SQL, scikit-learn, and PyTorch or TensorFlow.
Data engineer on a banking-sector advanced analytics project: designs scalable data pipelines and builds/integrates ML models with PySpark, SQL and AWS, using MLflow and MLOps to manage the production model lifecycle. Hybrid role based in Madrid on an international team.
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.
Ayesa Digital is hiring a Senior Backend Developer to build, maintain and support client-server applications for a financial-sector client based in San Isidro, Lima (Peru). Day-to-day work centers on specialized PowerBuilder 19.0 and .NET Core (C#) development plus Oracle and SQL Server query optimization, fully on-site.
Senior backend developer developing and optimizing server-side business logic, backend components, and integration web services at a financial-sector client's offices in San Isidro, Lima. Core stack: .NET Core/C#, Java (Spring Boot), Node.js, or Python, with SQL Server/Oracle databases and Git-based version control.
Data Scientist/ML Engineer responsible for the full data lifecycle—designing, training, and deploying machine learning models in production environments using Python, SQL, and ML frameworks.