Top Data Engineer Jobs in Barcelona

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.

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.

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.

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 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.

As a Robotics Data Platform Engineer, you'll develop and maintain data infrastructure for robotics technology, focusing on data ingestion, analytics, and automation for algorithm testing. You will collaborate with teams to enhance workflows using large-scale datasets.

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

As a Lead Data Engineer, you will design and deliver scalable data platforms, mentor engineers, and collaborate with stakeholders to advance analytics and AI initiatives.

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.

The Data Research Engineer will enhance ML model development by identifying data sources, building ETL pipelines, and collaborating on data storage solutions.

This role involves designing and building scalable data models and pipelines, collaborating cross-functionally, and ensuring data quality for analytics and reporting needs.

We need a Senior Data Engineer to create reliable data pipelines, ensure data quality, collaborate with teams, and enhance our data platform.

Lead data projects at Rover, ensuring reliable pipelines, mentoring engineers, and optimizing the Data Platform for effective insights communication.

The Senior Data Platform Engineer will enhance the data infrastructure, manage pipelines, ensure data quality, and collaborate with teams on analytics projects.

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.

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

The Senior Data Analytics Engineer will manage data products, collaborate with teams, support machine learning, and ensure data quality across the organization.

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

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.

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.