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 Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

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 Integration Specialist will design, implement, and deploy data integration pipelines, ensuring performance and alignment with project management. They will handle data from various sources, support UATs, and document technical processes.

The Data Engineer will build, scale, and maintain data pipelines on the BI team, ensuring reliable data availability and supporting AI-driven insights across Veepee's operations.

As a Principal Data Engineer, you'll lead a team to deliver transformative data solutions, ensuring regulatory compliance and integrating diverse data sources. You'll advocate for best practices and continuously improve data products with cutting-edge engineering techniques, primarily focusing on cloud-native technologies.

The Data Engineer will set up data migration processes, assist with automation of BI processes, improve analytics infrastructure, and work with various APIs for data uploads.

Design, build, and optimize end-to-end BI and analytics data solutions. Develop and maintain Snowflake-based pipelines, implement transformations/procedures/tasks, optimize SQL and data models, expose data to Power BI, define KPIs/semantic models, document architectures, and collaborate with stakeholders in Agile/Scrum.

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 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.

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.

As a Senior Clinical Data Science Programmer, you will design and implement data pipelines, ensuring data integrity and collaboration with various users in a fully remote environment.

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 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 Data Engineer will design and maintain data pipelines, optimize ETL processes, ensure data quality, and collaborate in an agile environment.

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 Data Engineer will design and develop data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory, while ensuring data quality and supporting business intelligence efforts.

The Data Engineer will design and develop data pipelines using Azure Databricks, optimizing transformations with PySpark and SQL, while integrating various data sources, ensuring quality and performance, and supporting BI initiatives.

The Data Engineer will design and develop data pipelines, Lakehouse architectures, and support cloud-based data platforms using Azure Databricks and related technologies.