Top Data Engineer Jobs in Madrid

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 Software Engineer II will design, develop, and launch backend systems, participate in the product lifecycle, support operational metrics, and engage in team growth activities.

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.

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 implement data infrastructure, build scalable data pipelines, create data models, and automate workflows while collaborating with various teams to enhance analytics capabilities.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

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

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.

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

The role involves building scalable ETL data pipelines, ensuring data democratization, and collaborating with teams to enhance data quality and accessibility.

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

As a Data Engineer, you will develop and maintain data models, optimize database performances, implement ETL processes, and work with cloud technologies ensuring quality data integration for clients.

Lead the design and implementation of ETL pipelines and data solutions on the Snowflake platform, optimizing performance and ensuring data quality and insights for business decision-making.

The Senior Data Engineer will manage the data platform, support product development for developers, and engage with data systems using various technologies while collaborating in a remote environment.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

As a Senior Data Engineer, you will architect scalable infrastructure, ensure data governance, mentor engineers, and resolve complex data issues.

As a Senior Data Engineer, you'll develop and optimize data pipelines for a Consumer Data Lake, ensuring data accuracy and compliance with privacy regulations while collaborating with cross-functional teams.

The Senior Data Engineer will build and optimize data pipelines, manage data lakes, ensure data quality, and collaborate with global teams to enhance consumer analytics.

As a Senior Data Engineer, you'll design ETL workflows, maintain cloud data platforms, ensure data quality, and leverage AI in data operations. You'll collaborate with various teams to support data needs and optimize data architecture.