Top Data Engineer Jobs in Barcelona

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

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

Design, build, and optimize end-to-end BI and analytics data solutions. Develop and maintain Snowflake-based pipelines, implement transformations/procedures/tasks, optimize SQL and data models, expose data to Power BI, define KPIs/semantic models, document architectures, and collaborate with stakeholders in Agile/Scrum.

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 Analytics Engineer will enhance data infrastructure, build reliable data pipelines, ensure data quality, and collaborate with teams to meet business analytics needs.

As a Data Engineer, you'll design and deliver data products, collaborate with teams to translate requirements, and develop ETL workflows. You'll ensure data accuracy and contribute to the architecture of Fever's data ecosystem, fostering best practices.

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 Senior Software Engineer, you will lead backend development for the Merchant Data Platform, mentor junior engineers, ensure system reliability, and collaborate in product development. Your role involves project management, technical planning, and maintaining high availability of services.

As a Data Engineer, you'll design, develop, and maintain data pipelines, improving the quality and reliability of data processing while collaborating with cross-functional teams.

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

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

The Senior Data Engineer develops data solutions, builds scalable data pipelines, and fosters best practices while collaborating within a multidisciplinary team.

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

The Data Engineer will focus on infrastructure automation, reliability, and cost optimization. Responsibilities include designing Infrastructure-as-Code, managing CI/CD pipelines, establishing observability standards, and collaborating with teams to improve platform resilience.

Design and build scalable ETL/ELT and feature pipelines for image and metadata ingestion, maintain ground-truth datasets, enable reproducible model training and deployment, and collaborate with data scientists and engineers to deliver production-grade image recognition solutions that drive quick-commerce product growth.

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.

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 role involves building and maintaining data infrastructure, ensuring efficient collection, processing, and storage of data while collaborating on projects and employing data quality measures.

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

The Principal Vector Data Engineer will design and implement vector embedding models for multimodal biomedical data processing, develop quality control protocols, and contribute to digital biomarker identification. The role involves collaboration with cross-functional teams to advance machine learning applications in neurodegenerative disorders.

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.

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

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.

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.