Top Data Engineer Jobs in Barcelona

As a Data Engineer, you will enhance data governance and integration processes, maintain data pipelines, and support data-related needs for analytics and product teams.

The Principal Vector Data Engineer will design and implement vector embedding models for multimodal biomedical data processing, develop quality control protocols, and contribute to digital biomarker identification. The role involves collaboration with cross-functional teams to advance machine learning applications in neurodegenerative disorders.

The Data Engineer will support the design and maintenance of data pipelines, collaborate with teams for data solutions, and ensure data quality in AI applications.

The Digital Data Engineer will design, develop, and maintain data engineering solutions, optimize data pipelines, and mentor junior engineers, ensuring project success and adherence to best practices.

Design and implement scalable data pipelines, ensure data quality and security, collaborate with analysts and data specialists, and innovate data models to support analytics and decision-making.

The Data Engineer will support and build infrastructure for real-time analytics systems, develop predictive analytics, and integrate complex datasets for sports betting products.

The Data Analytics Engineer will enhance data infrastructure, build reliable data pipelines, ensure data quality, and collaborate with teams to meet business analytics needs.

Design, build, and optimize scalable data platforms on Azure and Databricks, focusing on ETL/ELT pipelines, data quality automation, and governance frameworks.

As a Cloud Data Engineer, you will process complex datasets using Python and SQL, optimize ETL workflows on Azure/AWS, and build data visualizations in Power BI to support business decision-making.

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.

Collaborate with cross-functional teams to design and implement data solutions, maintain data models and products, and ensure data quality in a Data Mesh architecture.

The Data Engineer will design and build ETL pipelines for image data, work with Data Scientists on model training, and manage the infrastructure for ML models.

As a Data Engineer, you'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

The Data Engineer will design, develop, and maintain data pipelines for efficient data handling, working with cross-functional teams in the pharmaceutical industry.

As a Data Engineer at Ogury, you will organize and maintain data stacks, optimize reporting systems, and collaborate with teams to enhance data accessibility and insights.

Design and optimize data infrastructure on GCP, focusing on ETL/ELT pipeline development, data governance, and ensuring high data quality while collaborating with cross-functional teams.

The role involves building AI-driven products, designing intelligent workflows, and developing data pipelines for efficient AI integration and automation.

The Data Engineer will design and maintain data pipelines and models, ensuring data quality and accessibility for business decisions.

The role involves designing end-to-end data engineering solutions, developing projects in cloud environments, mentoring engineers, and ensuring data quality and security.

You will design and develop data solutions, create ETLs using Spark, work on cloud projects, and build scalable data pipelines.

The Data Engineer will focus on data migration, building scalable pipelines, data modeling, troubleshooting, and collaborating with teams effectively.

The Data Engineer will design and maintain scalable data platforms, develop data pipelines, implement ETL processes, and ensure data quality.

As a Senior Data Engineer, you'll build and optimize data pipelines for an AI platform, ensuring data integrity and performance while collaborating with various teams.

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

The Staff Data Engineer will design and develop data infrastructure and pipelines, ensuring data quality and supporting business decision-making. This role includes mentorship, collaboration with cross-functional teams, and promoting operational excellence.