Top Data Engineer Jobs in Spain

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

As a Data Engineer, you will enhance data governance and integration processes, maintain data pipelines, and support data-related needs for analytics and product teams.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

The Data Analytics Engineer will analyze product performance, design ETL pipelines, and ensure data quality while driving process improvements in data handling and visualization.

You will design and develop data solutions, create ETLs using Spark, work on cloud projects, and build scalable data pipelines.

The Data Engineer will build and maintain ML pipelines, implement MLOps, and support data science processes to enhance player engagement in mobile games.

The Digital Data Engineer will design, develop, and maintain data engineering solutions, optimize data pipelines, and mentor junior engineers, ensuring project success and adherence to best practices.

As a Data Engineer, you'll design and maintain data pipelines, ensure data quality and reliability, and support product engineering teams in leveraging the Data Platform.

The Data Engineer will design and implement scalable data solutions on AWS, manage data pipelines, enforce data governance, and collaborate with teams to enhance processes while troubleshooting challenges.

The Data Analytics Engineer will enhance data infrastructure, build reliable data pipelines, ensure data quality, and collaborate with teams to meet business analytics needs.

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

Design, build, and optimize scalable data platforms on Azure and Databricks, focusing on ETL/ELT pipelines, data quality automation, and governance frameworks.

Design, build, and optimize scalable data platforms on Azure and Databricks, develop ETL/ELT pipelines, and ensure data quality and governance.

Design and implement scalable data platforms on Azure, build ETL pipelines, ensure data quality, and manage data governance frameworks.

Design, build, and optimize scalable data platforms on Azure and Databricks; develop ETL/ELT pipelines and implement governance frameworks.

As an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.

Lead development of data-centric and AI-powered products, translating business needs into technical specifications, and collaborating with cross-functional teams to deliver solutions.

The Data Engineer will design, develop, and implement data solutions using Microsoft technologies, creating data pipelines and employing DevOps practices for efficient data management.

Collaborate with cross-functional teams to design and implement data solutions, maintain data models and products, and ensure data quality in a Data Mesh architecture.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

Design and implement backend systems for data science features, build high-volume data pipelines, and ensure scalability for data-driven product capabilities.

The Data Engineer will design and build ETL pipelines for image data, work with Data Scientists on model training, and manage the infrastructure for ML models.

The Data Engineer will develop ETL/ELT pipelines, maintain Azure Databricks, integrate data sources, and support analytics by delivering reliable datasets.

As a Cloud Data Engineer, you will process complex datasets using Python and SQL, optimize ETL workflows on Azure/AWS, and build data visualizations in Power BI to support business decision-making.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.