Top Data Engineer Jobs in Spain

As a Data Engineer II, you'll design and maintain data pipelines, optimize workflows, collaborate with data teams, and ensure data reliability using cloud technologies.

The Data Engineer II will develop and optimize data platforms, build scalable pipelines, enhance existing workflows, and collaborate with teams for data solutions.

The Senior Data Engineer will design and implement data infrastructure, lead the data stack evolution, and mentor junior engineers while ensuring data reliability, scalability, and automation.

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.

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 design, build, and maintain data pipelines, ensure data quality, and collaborate with stakeholders to deliver data solutions.

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.

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 Product Data Engineer will design and maintain ETL pipelines, ensure data quality, and support analytics for AI product features, acting as a bridge between Backend and BI teams.

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

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 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.

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

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 design and build data pipelines, manage data architecture, ensure data quality, and integrate machine learning models. You will collaborate with cross-functional teams to deliver data solutions.

Responsible for designing and optimizing data pipelines, managing data quality and security, and integrating AI models for data science teams.

The role involves implementing and supporting Adobe Experience Cloud solutions while collaborating with various teams to enhance digital analytics capabilities and customer satisfaction.

As a Principal Data Engineer, you'll lead a team to design data solutions for regulatory reporting, ensuring quality and compliance while collaborating across stakeholders.

Design and maintain scalable real-time data architectures using ClickHouse and Kafka. Configure Debezium and MSK connectors, optimize pipelines and DB performance, review team code and solutions, and lead platform standards and adoption across teams.

Design, build, and maintain scalable ETL and streaming data pipelines using Airflow, Kafka, and Snowflake/Redshift. Develop data models, integrate third-party sources and APIs, implement monitoring, and collaborate with data teams to ensure reliable, performant data infrastructure.

Design, build, and maintain scalable cloud data pipelines and analytics solutions. Implement CI/CD and infrastructure-as-code, ensure reliable data flows to the warehouse, optimize data models and performance, and collaborate across teams to embed business logic enabling data-driven decisions.

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.

As a Senior Clinical Data Science Programmer, you will design and implement data pipelines, ensuring data integrity and collaboration with various users in a fully remote environment.