Top Data Engineer Jobs in Spain

The Data Engineer will manage data pipelines, ensure data in DWH is updated and accessible, support analytics, and champion data reliability.

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'll design, build, and optimize data pipelines, collaborate with teams, and enhance data reliability and scalability.

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 implement and maintain data pipelines, support data scientists, and manage technical relationships with clients. Responsibilities include optimizing data flows and providing training to customer teams.

As a Data Engineer, you'll optimize data infrastructure and pipelines, support data scientists, and manage data platforms to enhance accessibility and quality.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.

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

As a Data Engineer, you will leverage your expertise in DBT, AWS Managed Airflow, Python, and Terraform to deliver high-quality digital products. You'll work on modernizing digital capabilities for various clients.

Design and scale Kafka architecture, develop SDKs, implement operational excellence, and drive architectural decisions for messaging infrastructure.

As a Data Engineer at Nansen, you will build and optimize systems for their customer-facing analytics product, collaborating closely with crypto researchers and engineers to tackle large-scale data challenges and ensure data quality and reliability.

The Data Engineer will design scalable architectures using Delta Lake and Databricks, implement data pipelines, and support AI integration efforts.

The Data Engineer will design and implement data architectures and pipelines, support AI integration, and mentor junior engineers in a collaborative environment.

Seeking a Data Engineer for AI research to design data architectures, develop real-time pipelines, and integrate AI into enterprise systems, facilitating intelligent automation.

Design and implement data foundation for intelligent automation in enterprise systems. Collaborate on data architecture, AI integration, and mentoring junior engineers.

Design and build scalable ETL/ELT pipelines, maintain data models and marts, enforce data quality, and collaborate with teams for data solutions.

The role involves building scalable ETL data pipelines, ensuring data democratization, and collaborating with teams to enhance data quality and accessibility.

The Data Analytics Engineer will analyze product performance, design ETL pipelines, ensure data quality, and create reports, contributing to product strategy and improvements.

The Software Engineer I will design, develop, and launch backend systems, collaborating with the team to manage merchant data and maintain service availability.

The Software Engineer II will design, develop, and launch backend systems, participate in the product lifecycle, support operational metrics, and engage in team growth activities.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

As a Data Engineer, you will develop and maintain data models, optimize database performances, implement ETL processes, and work with cloud technologies ensuring quality data integration for clients.

This role involves building data pipelines, deploying machine learning models on cloud/on-premise architecture, and developing microservices to support data-driven products.

Data Engineers collaborate with data scientists to design data processing pipelines, write code, and ensure data quality while managing data applications.

Data engineers at Thoughtworks design and maintain data processing pipelines, collaborate with data scientists, and ensure data quality while using modern tools and practices.