Top Data Engineer Jobs in Barcelona

The Data Engineer will design and maintain ETL pipelines, optimize data models, develop exporters, and ensure reliable data services for the Lambda app in a fast-paced startup environment.

Design and optimize data infrastructure on GCP, focusing on ETL/ELT pipeline development, data governance, and ensuring high data quality while collaborating with cross-functional teams.

You will design and develop data solutions, create ETLs using Spark, work on cloud projects, and build scalable data pipelines.

The role involves designing and optimizing data infrastructure, ensuring data quality, collaborating with analysts, and innovating data solutions for analytics and AI.

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 Engineer will design and implement scalable data solutions on AWS, manage data pipelines, enforce data governance, and collaborate with teams to enhance processes while troubleshooting challenges.

As a Senior Data Engineer, you will design and build core infrastructure for a data platform, optimize systems, mentor teams, and tackle complex technical challenges.

Seeking a Backend Developer with 5+ years experience in C# and .Net Core to develop and improve products, manage code quality, and coordinate developers.

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

The role involves designing Master Data Management solutions, building data pipelines, and ensuring data quality while collaborating with cross-functional teams.

The Senior Data Engineer will design and implement automated data solutions, create ETL pipelines, validate data quality, and collaborate with data teams using Python and SQL.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.

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 and scale Kafka architecture, develop SDKs, implement operational excellence, and drive architectural decisions for messaging infrastructure.

Develop and maintain Master Data Management solutions using Java and AWS. Engage in data operations and collaborate with cross-functional teams to ensure high data quality standards.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

You will own product lifecycles, leverage modern technologies, mentor teammates, enhance development experiences, and improve build processes.

The Senior Data Engineer will redesign and simplify the data warehouse infrastructure, improve system stability, optimize data pipelines, and oversee infrastructure performance. Responsibilities include conducting audits, making architectural proposals, and supporting ML/AI workflows.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

Lead the data engineering team, implementing data architecture patterns, guiding junior members, and managing complex projects in Azure.

The Engineer II will design and implement backend services for the Global Data Platform, focusing on enhancing reliability, security, and performance while applying modern software engineering practices and collaborating with teams.

Lead data projects, mentor engineers, and enhance Rover's Data Platform by designing efficient ETL pipelines and self-service tools.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

The Senior Data Engineer will build and scale a modern AdTech data platform, focusing on data pipelines, analytics, and collaboration with teams to optimize performance.