Top Data Engineer Jobs in Barcelona

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 at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

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 Intern, support the analytics platform by developing data pipelines and ensuring data accessibility. Collaborate with data teams to implement quality rules and automate testing, while learning through hands-on experience.

The Junior Data Engineer will develop, automate, and maintain ETL processes and data pipelines on AWS, while ensuring data reliability and scalability.

You will design, build, and maintain data pipelines and ETL workflows for perception models, manage dataset versioning, and collaborate with ML engineers to provide validated datasets.

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

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

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

As a Middle Data Engineer, you will migrate legacy SQL Server data to a cloud-based Snowflake system, refactor ETL processes, and ensure efficient data movement for analytics, collaborating with cross-functional teams throughout the project.

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 build and maintain ML pipelines, implement MLOps, and support data science processes to enhance player engagement in mobile games.

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

As a Data Engineer at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

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 Middle Data Engineer, migrate SQL Server data warehouses to Snowflake, refactor ETL processes, build data pipelines, and ensure reliable data movement.

As a Data Engineer, you'll build scalable infrastructure for data processing, lead improvements, establish data governance, and mentor engineers while ensuring high data quality.

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 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.

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

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.

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

The Data Engineer will design and implement scalable data solutions on AWS, manage data pipelines, enforce data governance, and collaborate with teams to enhance processes while troubleshooting challenges.