Top Data Engineer Jobs in Spain

The Data Engineer will design and develop data pipelines and lakehouse architectures using Azure Databricks, optimize data transformations, and integrate multiple data sources for analytics.

The Data Engineer will design and develop data pipelines and Lakehouse architectures using Azure Databricks, integrate data from multiple sources, and 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 build data pipelines, develop database solutions, create data algorithms, optimize systems, ensure data quality, and collaborate with other teams.

Lead the development and optimization of data infrastructure for AI initiatives, collaborate with teams to architect, implement, and maintain data solutions for next-generation AI systems.

As an AI Data Engineer, you will build and maintain data pipelines, ensuring compliance and collaboration with AI teams, focusing on data quality and infrastructure enhancements.

Design, build, and maintain scalable data pipelines and ETL processes using Databricks, Spark, Delta Lake and BigQuery across multi-cloud environments. Optimize and monitor pipeline performance, implement security and testing practices, document infrastructure, and collaborate with stakeholders and data teams.

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

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

The AI & Data Engineer will develop AI models, manage data processes, ensure data quality, and collaborate with stakeholders in public sector projects.

As a Data Engineer, you will design data architectures, manage client databases, implement ETL processes, and collaborate on data solutions.

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.

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.

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

Build and improve Veeva Link's next-gen data platform and pipelines, focusing on Spark-based processing. Own features end-to-end, apply SOLID principles, add monitoring/observability, collaborate with data scientists to operate ML models, and optimize precision, recall, and cost.

The Senior Data Engineer designs and implements data infrastructure, oversees data pipelines, and ensures data reliability while mentoring junior staff. Responsibilities include automating governance, optimizing data performance, and collaborating with various stakeholders.

As a Data Engineer, you'll design and maintain data pipelines, ensure data quality and reliability, and support product engineering teams in leveraging the Data Platform.

Design, build, and operate production-grade data pipelines and curated datasets on AWS. Implement near-real-time ingestion (CDC), BI-ready data models, ETL/ELT in Python (Polars), data quality and observability, and orchestration with Airflow/AWS tools.

The Data Engineer will design, build, and maintain data pipelines while collaborating with teams to provide data-driven solutions and enhance data quality.

The Data Engineer will design, develop, and maintain data pipelines, Lakehouse architectures, and support Azure Databricks integrations with SQL Server data warehouses, ensuring data quality and performance.

The Data Engineer will design and develop data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory, ensuring scalability and performance for data processing.

We are seeking a Mid-Senior Data Engineer to design and develop Azure Databricks data pipelines and Lakehouse architectures, supporting advanced analytics and business intelligence.

As a Data Platform Engineer Specialist, you'll design and maintain data infrastructure on AWS, develop data pipelines, ensure data security, and mentor junior engineers while collaborating with cross-functional teams to drive innovation in analytics and AI.

Lead design, build, and maintenance of end-to-end scalable data pipelines and models (dbt, SQL, Python). Partner with stakeholders to deliver clean, documented data for analytics, automate ETL, support production deployments, performance tuning, and foster data governance and privacy practices.

Lead design and build of end-to-end scalable data pipelines, apply dimensional modeling, develop ETL infrastructure, automate processes, partner across data and business teams, implement dbt-based transformations, support performance tuning, and foster data governance for trusted analytics and self-service BI.