Top Data Engineer Jobs in Spain

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.

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

Develop and maintain scalable data architecture and pipelines, ensuring data quality for analytics and business decision-making in collaboration with stakeholders.

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.

As a Data Quality Automation Engineer, you will implement and maintain testing frameworks for data quality, automate tests within CI/CD pipelines, and ensure the integrity of data products within hybrid data environments.

The Senior Software Engineer will design and build backend systems for data science features, focusing on scalable solutions for processing streaming data and enhancing core products.

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.

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

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

The Data Engineer will design and build ETL pipelines for image data, work with Data Scientists on model training, and manage the infrastructure for ML models.

As a Senior Marketing Data Engineer, you'll design data pipelines and models, ensuring end-to-end funnel visibility and real-time insights while partnering with Product and Marketing teams.

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 focus on data migration, building scalable pipelines, data modeling, troubleshooting, and collaborating with teams effectively.

As a Junior Data Engineer, you will build and maintain ETL/ELT data pipelines, support data analytics initiatives, and ensure data quality and monitoring processes while collaborating closely with business stakeholders.

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

As a Data Engineer, you will model data using dbt, manage data infrastructures, design data pipelines, and deliver training and presentations to clients.

Design, develop, and implement data solutions using Microsoft technologies, create data pipelines with Python and SQL, and apply DevOps practices.

As a Data Engineer, you will enhance data models, optimize performance, design data architectures, and develop high-performance ELT pipelines to drive business insights.

The Azure Databricks Data Engineer/Architect will design, build, and optimize data platforms on Azure, focusing on ETL/ELT pipelines, data quality, governance frameworks, and collaboration with analytics and ML teams.

As a Data Engineer, you'll build and maintain data pipelines, collaborate with stakeholders, and establish data governance and quality standards to empower data-driven decision making at Bitpanda.