Top Data Engineer Jobs in Spain

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

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.

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.

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

The Senior Data Engineer will design and implement high-quality data solutions, primarily using Azure technologies, while collaborating with teams to enhance data management practices and products.

As a Data Engineer, you will design, build, and maintain data pipelines, ensure data quality, and collaborate with stakeholders to deliver data solutions.

As a Senior Data Engineer, you'll optimize data infrastructure, enhance performance, design data models, and collaborate with analysts to develop data pipelines for business insights.

Design, build and maintain scalable Spark/PySpark and SQL pipelines on Databricks. Implement Medallion Architecture, Delta Lake, Unity Catalog governance, data-quality monitoring, orchestration (Airflow), and performance optimisations.

Responsible for integration of Tactical Data Links for Airbus A/C products, managing system design, specifications, equipment interface definitions, and supporting qualification activities.

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

The Staff Data Engineer will design and maintain data models, develop ELT pipelines, collaborate with teams, and enable data accessibility for informed decision-making across the business.

The Senior Data Science Engineer will develop and deploy machine learning solutions focused on demand forecasting and optimization for a fleet management platform, ensuring reliability and impact, while working with various stakeholders.

The Senior Software Engineer will enhance database infrastructure tools, ensure system reliability, support developer experiences, and engage in on-call shifts.

The Data Platform Engineer Specialist will design and develop scalable data solutions, lead data pipeline development, ensure data security, and mentor junior engineers while collaborating with cross-functional teams.

The Data Platform Engineer Analyst will design and maintain data infrastructure on AWS, automate tasks, ensure data security, collaborate with teams, and drive data-driven innovations.

As a Staff Data Engineer, you'll design and build advanced data platforms and pipelines, ensuring security and compliance while delivering high-quality data products using AWS technologies.

As a Staff Engineer, you'll design and deliver integrated data platforms, build and optimize data pipelines, and mentor junior engineers while working with AWS Cloud and AI technologies.

Design, build, and maintain a trusted semantic layer and reusable data models (dimensions, facts, metrics). Translate business logic into clear data specs, improve model reliability with testing and lineage, drive adoption across teams, standardize modelling conventions, and enable self-serve analytics for product, GTM, and finance stakeholders.

As a Data Analytics Engineer, you'll design and maintain ETL pipelines, ensure data quality, and collaborate with various teams to meet data needs.

The Agricultural Engineer will develop ETL processes, automate quality control, validate databases, and coordinate technical needs between teams.

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.

Design, build, and optimize scalable data models and pipelines using Airflow, Snowflake/Redshift, and Kafka. Implement streaming architectures, integrate third-party data sources/APIs, establish monitoring and maintenance, and collaborate with data scientists, analysts, and stakeholders to ensure reliable, accessible data infrastructure.

Design, build, and maintain data pipelines and warehouses; deploy Data Science models to production; automate data collection, monitoring, and model retraining; collaborate with analysts and engineers to ensure data quality and availability.

Lead design, build, and maintenance of end-to-end scalable data pipelines and ETL for analytics and ML/AI. Apply dimensional modeling, automate processes, collaborate with platform teams, optimize performance, and promote data governance and documentation to enable self-service analytics across business domains.

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.