Top Data Engineer Jobs in Madrid

The Data Engineer will design and build data pipelines, develop database solutions, create data algorithms, optimize systems, ensure data quality, and collaborate with other teams.

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

Design and implement data pipelines, manage access controls in Snowflake, and ensure compliance through automation. Collaborate with cross-functional teams to optimize data workflows.

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.

Design, build, and optimize ETL/ELT pipelines, ensure data quality, and collaborate with teams to deliver scalable data solutions.

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.

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

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

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.

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

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 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 design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

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

The Data Engineer will design and maintain ETL pipelines, develop dashboards, manage Oracle databases, and translate business requirements into data solutions, while ensuring data quality and performance optimization.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

The Senior Data Engineer designs and optimizes data infrastructure using GCP tools, builds scalable ETL/ELT pipelines, and ensures data quality and governance while collaborating with teams for advanced analytics.

You will own product lifecycles, leverage modern technologies, mentor teammates, enhance development experiences, and improve build processes.

The Senior Data Engineer will redesign and simplify the data warehouse infrastructure, improve system stability, optimize data pipelines, and oversee infrastructure performance. Responsibilities include conducting audits, making architectural proposals, and supporting ML/AI workflows.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.