Top Data Engineer Jobs in Barcelona

The Data Engineer will build scalable infrastructure for data analysis, ensuring high performance and compliance with data protection standards while collaborating with cross-functional teams.

Design, build and maintain scalable data pipelines, models and infrastructure to power product analytics. Partner with BI, Data Science and product teams, implement testing/monitoring, and contribute to AI-enabled tooling and analytics platforms.

Design, build, and maintain cloud data pipelines and Lakehouse architectures using Azure Databricks, PySpark, Delta Lake, and Azure Data Factory. Integrate multiple data sources, optimize large-scale processing, support SQL Server/SSIS environments, and collaborate with BI teams to enable analytics and reporting.

The Senior Product Data Engineer will build, iterate, and launch data products, focusing on large-scale data processing and ETL/ELT pipelines, using various technologies and implementing AI features.

Join Gartner as a Software Engineer contributing to AI-focused software solutions in a hybrid environment. Collaborate with cross-functional teams to design, build, and maintain scalable systems that deliver actionable insights to enterprise clients.

Design, build, and maintain a petabyte-scale market data lakehouse: capture/normalize exchange and vendor feeds, reconstruct order books, build batch/stream pipelines, manage Iceberg-over-S3 storage, develop tooling/SDKs, and ensure reliability/observability for research and trading.

Design, build, and maintain reliable batch and streaming ingestion pipelines and data lake components. Implement data contracts, quality checks, enrichment logic, observability, governance, and enable self-service ingestion templates while collaborating with analytics, ML, and product teams.

Build and maintain data pipelines, ETL/ELT processes, and integrations to populate data warehouses and lakes. Implement tenant data security, support data science/AI needs, automate data quality and monitoring, perform code reviews, and deliver analytics and BI solutions with minimal supervision.

As the Data Engineer, you will design and maintain data pipelines, scale data infrastructure, ensure data quality, and collaborate with analysts to enhance decision-making capabilities.

Design, build, and maintain Snowflake-based data pipelines and transformation models to support credit monitoring, analytics, and ML. Implement transformation frameworks, orchestrate reliable pipelines, onboard data sources, drive data quality, and collaborate with credit stakeholders to enable risk models and reporting.

Design and implement Azure-based data infrastructure: build ETL/ELT pipelines, data storage (Data Lake/Warehouse), optimize data delivery, develop analytics and tooling, and collaborate with stakeholders to deploy and support data solutions.

Design and implement Azure-based data infrastructure and pipelines (hub-and-spoke). Build ETL/ELT processes, data storage (Data Lake/Warehouse), analytics tools, collaborate with stakeholders, and optimize data delivery and automation.

Design and build scalable Azure-based ETL pipelines, data storage and analytics solutions. Collaborate with stakeholders to optimize data delivery, automate processes, support infrastructure, and create analytical tools to surface business insights.

Design, build and optimize Azure-based ETL/data pipelines and analytics infrastructure (ADF, Synapse, Data Lake/Storage). Implement scalable data solutions, automate processes, support data delivery, and create analytical tools. Collaborate with cloud, governance, and data stakeholders to deploy and maintain data solutions.

Build and maintain high-performance data ingestion pipelines and features for ML models, write clean testable code, participate in code reviews and architectural decisions, monitor deployments for reliability and performance, and collaborate in an agile team following a "you build it, you run it" philosophy.

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

Build and maintain scalable data pipelines, transformations, and analytics-ready models using dbt, SQL, Python, and Snowflake. Implement ingestion, CDC, API integrations, testing, monitoring, and observability. Collaborate with analysts and stakeholders to define metrics, ensure data governance and compliance, and optimize data platform reliability.

Build the companys first data stack and data products (internal analytics and customer-facing). Work across data engineering, devops, and software tasks; ship early features, improve developer experience, document proposals, and iterate based on feedback.

Design, build, and maintain ETL/ELT pipelines, model and optimize NoSQL data (MongoDB), create Metabase dashboards, prepare datasets for AI/LLM projects, support web back-end (Node.js), and collaborate with product teams to integrate AI components and ensure data quality and freshness.

Design, build, and operate enterprise reporting and analytics platforms. Create scalable ELT/ETL pipelines, master data foundations, and lakehouse/warehouse semantic models. Deliver Power BI datasets and dashboards, implement data quality, governance, DevOps practices, and cost-management data solutions. Partner with finance and stakeholders and provide technical leadership across architecture, deployment, and run-state support.

Lead design and evolution of the data platform: architecture, schema design, governance, and infrastructure on AWS using Terraform. Ensure AI-ready, high-quality data; set standards, mentor engineers, and drive cross-team technical direction.

The Renewables Measurement & Data Engineer will validate renewable measurement data, support on-site measurements, troubleshoot systems, and analyze resource potential and asset performance.

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

Design and maintain ETL/ELT pipelines on Google Cloud Platform, optimize data processing workflows, and collaborate with stakeholders to develop data solutions.

The Data Engineer will design and maintain data models, develop BI solutions, integrate data, and optimize data flows while collaborating with stakeholders.