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.

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

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

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

The Senior Data Engineer will design and implement data infrastructure, lead on data models, and ensure scalability, automation, and data governance in collaboration with teams.

The Data Engineer will build scalable infrastructure for data analysis, ensuring high performance and compliance with data protection standards while collaborating with cross-functional teams.

As a Cloud Data Engineer, you will build and support data infrastructure, automate data models, and collaborate with the data science team on machine learning deployments.

As a Data Engineer at Veeva, you will design and maintain data pipelines, manage healthcare data relationships, and embrace AI technologies to enhance productivity.

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.

As a Junior Data Engineer, you will build and maintain ETL/ELT data pipelines, support data analytics initiatives, and ensure data quality and monitoring processes while collaborating closely with business stakeholders.

As a Data Engineer, you'll design, build, and maintain ETL/ELT pipelines, optimize data workflows, and support junior engineers while working in an agile environment on AI products.

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

As a Data Engineer, you will design data architectures, manage client databases, implement ETL processes, and collaborate on data solutions.

The Senior Product Data Engineer will build, iterate, and launch data products, focusing on large-scale data processing and ETL/ELT pipelines, using various technologies and implementing AI features.

The Principal Data Engineer will architect cloud-native platforms, oversee model execution and data management while ensuring compliance with regulatory standards in a high-performing team.

The Junior Software Engineer will design and implement data features, ensure code quality, and collaborate within a team to maintain reliable production systems.

The Data Engineer will architect and innovate data pipelines, contribute to AI/ML infrastructure, collaborate with stakeholders for impactful solutions, and ensure engineering excellence through top-tier software practices.

As a Data Engineer, you will model data using dbt, manage data infrastructures, design data pipelines, and deliver training and presentations to clients.

Lead design and ownership of Preply's data lake and end-to-end batch and streaming ingestion pipelines. Define data contracts, implement validation and observability, build enrichment and lifecycle management, enforce governance and privacy, and enable self-service ingestion templates and tooling while driving cross-team collaboration and platform reliability.

Build and improve Veeva Link's next-gen data platform and pipelines, focusing on Spark-based processing. Own features end-to-end, apply SOLID principles, add monitoring/observability, collaborate with data scientists to operate ML models, and optimize precision, recall, and cost.

As a Data Analyst, you will analyze data for business insights, create dashboards, and collaborate with teams to optimize user experience.

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.

Join a Data & AI team to design and operate an AIOps platform, focusing on reliability, automation, and scaling AI solutions in production environments.