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Ayesa Digital is seeking a Data Engineer to develop and maintain data-driven solutions for environmental analysis and scientific modeling for a European Commission project. The role involves managing complex datasets, machine learning pipelines, and ensuring data quality and governance.
The Data Engineer will design and implement scalable batch and streaming data pipelines on Google Cloud Platform. The role involves developing data-driven solutions using services like BigQuery, Dataflow, and Airflow to support enterprise-level data ingestion and processing.
The Cloud Data Engineer will design and manage scalable cloud-native data pipelines and platforms to support Big Data, Machine Learning, and Business Intelligence initiatives. The role involves working with various cloud technologies to process structured and unstructured data while providing advisory services to clients.
Data Engineer building marketing automation and data pipelines, collaborating daily with Marketing and Tech teams on data-driven campaign personalization and segmentation.
Cloud Data Engineer building hybrid Big Data pipelines (on-premises and cloud), both batch and real-time, and preparing data for Data Scientists and BI teams.
Junior Data Engineer designing and developing scalable ETL/ELT pipelines and managing relational and NoSQL databases for enterprise projects at an Italian consulting firm.
Data Engineer at Mavriq (Moltiply Group) designing and maintaining data pipelines to support marketing automation, integrating MarTech platforms like Google Ads/Microsoft Ads, using Python, .NET, SQL, and PostgreSQL in a hybrid role based near Pavia, Italy.
Senior ETL Developer at ING Türkiye building and optimizing automated, auditable data pipelines for legal and regulatory reporting, using ETL tools like ODI and DataStage with Oracle/Data Warehouse technologies.
Senior Azure Data Engineer to assess, design, and potentially build a modern Microsoft-based lakehouse data platform for a pharmaceutical CDMO, starting with a 6-week discovery phase using Azure Data Factory, Microsoft Fabric, and Databricks.
Senior Azure Data Engineer on a 6-week discovery phase (~30 hrs/week) to assess a pharma client's data landscape and design a scalable lakehouse, prototyping with Azure Fabric, ADF, and Databricks alongside a Solution Architect.
The Azure Data Engineer will design and manage ETL workflows in Azure, focusing on data migration and quality. The role requires expertise in Azure Data Factory, Synapse Analytics, and Python/PySpark to support business requirements.
Data Engineer transitioning a core data platform to Azure, managing third-party data ingestion and integration using Python, SQL, Apache Spark, and Azure Databricks at a Madrid-based start-up investment management firm.
Lognext is seeking a Senior Data Engineer in Madrid to build dashboards, transform data, and connect solutions using APIs. The role focuses on data engineering and analytics using Python, PySpark, and SQL to support business decision-making.
The Data Engineer Analyst will focus on market risk data, specifically transforming and mapping sensitivity, VaR, and stress testing data. The role requires expertise in ETL processes, SQL, and Control-M.
The Senior Data Engineer will work with architects to design and maintain a cloud-based data platform on Azure. The role involves managing data pipelines using Databricks and following Agile methodologies.
Data Engineer working on one of Europe's largest loyalty applications, handling massive datasets for advanced segmentation and personalized marketing campaigns across multiple countries, with a focus on large-scale data architecture and AI/Data Science initiatives.
Data Engineer bridging product, engineering, and client teams to translate business needs into scalable data solutions, working on-site in Oña for an insurance-sector multinational via Lognext.
The Data Engineer will focus on market risk and data transformation processes using SQL, PL-SQL, Mapper Engine, and Control-M. This is a fully remote role based in Spain.
Design, build, and optimize scalable data platforms on GCP (BigQuery, Cloud Storage, Cloud Composer) and dbt, defining ELT pipeline architecture to deliver reliable data across the organization.
The Data Engineer will lead the evolution of the company's data platform, reporting, and automation systems. The role involves working closely with the CIO on BI initiatives, web application improvements, and ETL processes using SQL Server, MySQL, Power BI, and Power Automate.
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