Top Data Engineer Jobs in Barcelona

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.

As a Senior Data Engineer, you'll design ETL workflows, maintain cloud data platforms, ensure data quality, and leverage AI in data operations. You'll collaborate with various teams to support data needs and optimize data architecture.

The Senior Data Engineer will lead the design and evolution of scalable data architectures, mentor team members, build data pipelines, and integrate Generative AI into workflows.

The Senior Data Engineer will evolve data infrastructure, manage data governance, and ensure reliability while collaborating with ML and analytics teams to provide well-governed datasets.

Seeking a skilled Data Engineer to design, develop, and deploy ML solutions with expertise in Python, Databricks, Snowflake, and AWS, focusing on supply chain management.

As a Senior Data Platform Engineer, you will lead complex data engineering projects, design core data platforms, mentor engineers, and develop automation capabilities for data workflows.

Seeking a Senior Data Support Engineer with 5-6 years of experience in Data Engineering, specifically utilizing Snowflake, Python, SQL, and AWS for data manipulation, warehousing, and testing processes.

Design, implement, and operate cloud-based data infrastructure focusing on scalability and security, and collaborate with teams on data pipelines and models.

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

Design, build, and maintain backend services and automation for data pipelines and internal tooling. Integrate AI/ML features, own CI/CD and observability, lead code reviews, and collaborate with cross-functional teams to ensure scalable, reliable production systems.

The Senior Data Engineer will design and maintain scalable ETL/ELT pipelines, model analytics-ready data, and collaborate with teams to enhance data reliability and observability.

The Senior Data Engineer will manage data infrastructure, optimize data workflows, and collaborate with teams for seamless data accessibility and machine learning support.

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.

As an Applied ML Engineer, you will build and scale data pipelines for video generation, ensuring data quality and optimizing preprocessing workflows.

Lead design and ownership of Preply's data lake and end-to-end batch and streaming ingestion pipelines. Define data contracts, implement validation and observability, build enrichment and lifecycle management, enforce governance and privacy, and enable self-service ingestion templates and tooling while driving cross-team collaboration and platform reliability.

Design, build, and own Preply's data lake and end-to-end batch and streaming ingestion pipelines. Implement data contracts, quality checks, enrichment logic, observability, governance, and self-service tooling. Collaborate cross-functionally to ensure production-ready, reliable, and discoverable datasets for analytics, ML, and product.

As a Lead Data Engineer, you will design, build, and maintain scalable data platforms, assess data landscapes, and collaborate with stakeholders to translate requirements into robust data solutions.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Senior Data Engineer will design, build, and maintain data pipelines, ensuring data quality, governance, and performance optimization while collaborating with cross-functional teams.

As a Senior Data Engineer at Fever, you'll design and deliver data products, build ETL workflows, and collaborate with cross-functional teams to ensure data accuracy and meet business needs.

As a Senior Data Engineer, you'll maintain data integrations, resolve technical issues, communicate with stakeholders, and improve support processes.

The Senior Data Engineer will build and optimize data pipelines, collaborate with engineering teams, and ensure data quality and scalability.