Top Data Engineer Jobs in Barcelona

As a Data Engineer, you will develop and maintain data pipelines for large-scale data ingestion and transformation, ensuring operational excellence and effective collaboration with teams across the company.

The Data Engineer will design, build, and maintain data pipelines while collaborating with teams to provide data-driven solutions and enhance data quality.

Design, build, and maintain the Market Data Platform, managing data ingestion, storage, tooling, and reliability while collaborating with diverse teams.

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.

The Data Engineering Intern will assist in creating data solutions and support data management initiatives while learning about modern technologies.

As a Senior Software Engineer at Smadex, you'll design data pipelines, optimize high-throughput systems, mentor juniors, and ensure operational excellence.

Design and maintain ETL/ELT pipelines on Google Cloud Platform, optimize data processing workflows, and collaborate with stakeholders to develop data solutions.

The candidate will design and develop data pipelines, implement Lakehouse architectures, and ensure data quality and performance while collaborating with BI teams.

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 role involves designing and developing data pipelines and Lakehouse architectures using Azure Databricks and Azure Data Factory while ensuring data quality and performance. The engineer will also integrate multiple data sources and collaborate with BI teams.

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.

Design and build data pipelines, acquire and store data, transform data into insights, optimize systems, and ensure data quality while collaborating with various stakeholders.

The Renewables Measurement & Data Engineer will validate renewable measurement data, support on-site measurements, troubleshoot systems, and analyze resource potential and asset performance.

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.

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

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.

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 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.

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.

Design and develop ETL pipelines for healthcare data integration, ensuring data quality and supporting operations while mentoring engineers and improving processes.