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.

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 Digital Data Engineer is responsible for developing data pipelines, optimizing ETL processes, collaborating on data architecture, and maintaining documentation in an Agile environment, while ensuring data quality and integration with SAP systems.

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.

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.

As a Junior Data Engineer, you will build data pipelines, manage ETL workflows, ensure data integrity, create reports, and automate processes to support business growth.

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

The Vector Data Engineer will design and implement semantic-search infrastructures, develop scalable pipelines for multi-omics data, and collaborate on AI applications.

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.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The Data Engineer will build scalable data pipelines, manage data transformations, and ensure data products align with business needs through collaboration.

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

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

The Data Engineer will build scalable data platforms and pipelines, develop models for AI integration, and ensure data governance while collaborating within an AI research team.

As a Data Engineer, you'll build and maintain a data platform, design data models, implement data pipelines, and collaborate with various stakeholders to deliver effective data solutions.

The Data Engineer will design and maintain data infrastructure, build scalable data pipelines, ensure data integrity, and integrate third-party data sources for analytical capabilities.

Develop new features, review database changes, document best practices, and improve product performance in backend engineering focusing on data frameworks.

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.

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

The Testing Automation Engineer will automate regression tests, maintain CI/CD pipelines, assess and implement testing frameworks, and collaborate with development teams to ensure quality in data analytics projects.