Top Data Engineer Jobs in Spain

The Data Engineer will manage a logging infrastructure related to security, assess risks, develop strategies, and communicate security compliance effectively.

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.

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.

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.

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

Lead the development of data and AI products, translating business needs into technical specifications and managing the product roadmap and backlog priorities.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

The Data Engineer Business Partner drives analytics initiatives, manages data transitions, collaborates with stakeholders, and ensures data integrity within finance processes.

As a Data Engineer, you'll build and optimize data pipelines, ensure data quality, and collaborate with cross-functional teams to support analytics.

As a Middle Data Engineer, you will build and optimize data transformations and pipelines, ensuring data quality and reliability while collaborating across teams.

The role involves designing and implementing GCP data pipelines, managing ETL processes, ensuring data quality, and providing technical support while working closely with customers to meet their data needs.

The Data Engineer will design, implement, and optimize data pipeline flows, create data tools for analytics, and support data scientists in detecting money laundering activities through data transformation.

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

Design and maintain data pipelines in Snowflake, optimize SQL queries, implement data models, and collaborate with stakeholders for data solutions.

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

The Senior Data Engineer develops data solutions, builds scalable data pipelines, and fosters best practices while collaborating within a multidisciplinary team.

As a Technical Project Manager, you'll lead data projects, collaborate with engineering and product teams, translate business needs into technical specifications, and drive project completion to meet internal and external client demands.

Design and maintain data pipelines in AWS, ensuring data integrity and availability. Collaborate with teams to meet data requirements and optimize infrastructure performance.

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

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.

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

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.

Design and implement scalable data platforms on Azure, build ETL pipelines, ensure data quality, and manage data governance frameworks.