Top Data Engineer Jobs in Spain

As a Data Engineer II, you'll design and maintain data pipelines, optimize workflows, collaborate with data teams, and ensure data reliability using cloud technologies.

The Data Engineer II will develop and optimize data platforms, build scalable pipelines, enhance existing workflows, and collaborate with teams for data solutions.

As a Senior Software Engineer, you will lead backend development for the Merchant Data Platform, mentor junior engineers, ensure system reliability, and collaborate in product development. Your role involves project management, technical planning, and maintaining high availability of services.

The Data Analyst/Engineer will design ETL pipelines, analyze data for insights, create Power BI reports, and collaborate across teams.

The Senior Data Engineer leads the design and implementation of data infrastructure, ensuring reliability, scalability, and automation while mentoring junior engineers and developing data models.

The Data Engineer will design and optimize data pipelines for AML solutions, support data scientists, and manage technical relationships with customers.

As a Data Engineer, you will optimize SQL queries, manage ETL processes, design data pipelines, and build APIs to support global shipping data accuracy and accessibility.

The Data Engineer will design, develop, and maintain scalable data systems and pipelines, manage cloud infrastructure, and collaborate on data-driven decision-making processes.

The Senior Data Engineer develops data solutions, builds scalable data pipelines, and fosters best practices while collaborating within a multidisciplinary team.

As a Data Engineer, you'll design and deliver data products, collaborate with teams to translate requirements, and develop ETL workflows. You'll ensure data accuracy and contribute to the architecture of Fever's data ecosystem, fostering best practices.

The Data Engineer will design and maintain data models, develop BI solutions, integrate data, and optimize data flows while collaborating with stakeholders.

The Senior Software Engineer will design and build backend systems for data science features, focusing on scalable solutions for processing streaming data and enhancing core products.

The Big Data/Data Engineer will design and develop a big data processing engine, handling ETL processes and geo-location analysis in cloud and on-prem environments.

The Data Engineer will design, build and maintain data pipelines on GCP, use AI for optimization, and collaborate with stakeholders for data solutions.

Design, build, and maintain scalable data pipelines and ETL processes using Databricks, Spark, Delta Lake and BigQuery across multi-cloud environments. Optimize and monitor pipeline performance, implement security and testing practices, document infrastructure, and collaborate with stakeholders and data teams.

The Data Engineer will manage data pipelines, optimize performance, implement serverless ingestion, and ensure data quality using GCP tools and practices.

The Data Engineer will manage data migration, optimize ETL processes, and ensure data integrity across the platform, supporting various teams.

As a Data Engineer, you'll design, develop, and maintain data pipelines, improving the quality and reliability of data processing while collaborating with cross-functional teams.

The Senior Data Engineer at Dynatrace will design and build data pipelines for analytics and applications, ensuring data reliability and efficiency across various platforms.

The Mid-Level Data Engineer will build and maintain data pipelines, ensuring data quality and integration for strategic revenue analysis. Close collaboration with cross-functional teams is essential.

As a Data Engineer, you will design, build, and maintain data pipelines, ensure data quality, and collaborate with stakeholders to deliver data solutions.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

The Data Engineer will design, build, and optimize data solutions, develop data pipelines, and work with stakeholders in BI and analytics environments.

Lead the development and optimization of data infrastructure for AI initiatives, collaborate with teams to architect, implement, and maintain data solutions for next-generation AI systems.

The Data Engineer will design, build, and maintain data pipelines and infrastructure for analytics, ensuring data quality and collaboration with stakeholders.