Top Data Engineer Jobs in Barcelona

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.

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 and operate scalable, secure database platform infrastructure on cloud (AWS). Implement IaC, CI/CD, container orchestration, observability, participate in on-call rotations, collaborate with product teams and deliver platform improvements.

The Software Engineer will manage data ingestion for AI model training, enhance cloud infrastructure, and collaborate on dataset development for Speechify products.

As a Senior Data Engineer, you will design and maintain data pipelines, ensure data quality, and collaborate with stakeholders to deliver data solutions that drive business value while mentoring other engineers.

The Analytics Engineer I will support reliable data development, collaborate with teams to ensure data quality, and apply AI literacy in data engineering tasks.

Design, own, and optimise dbt models and Dagster pipelines in a Lakehouse/Data Mesh on AWS. Build and monitor batch and streaming ingestion, implement data tests and CI/CD, integrate sources, improve pipeline reliability, and collaborate cross-functionally to deliver data products.

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

Lead design and build of scalable production data pipelines and a self-service data platform. Drive Airflow orchestration, ELT patterns, governance, data quality, observability, cost optimization, and domain adoption. Mentor teams, run technical POCs, and ensure platform reliability and metadata/lineage by design.

As a Senior Data Platform Engineer, you'll enhance the Data Platform, enabling teams to leverage data effectively while ensuring security and governance, focusing on automation and self-service tooling.

The Data Engineering Intern will assist in creating data solutions and support data management initiatives while learning about modern technologies.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

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.

The Junior Data Engineer will design and optimize data infrastructure on GCP, focusing on ETL/ELT pipelines and ensuring data quality, governance, and security.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

Design and build data pipelines, acquire and store data, transform data into insights, optimize systems, and ensure data quality while collaborating with various stakeholders.

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

Design, build, and own streaming data pipelines and feature stores to enable low-latency inference and real-time model serving. Partner with ML and infra teams to define data contracts, ensure data quality, observability, and SLAs, and move batch pipelines toward real-time production. Evaluate streaming and feature store technologies and contribute to inference pipeline tooling.

Build and maintain real-time streaming data pipelines and feature stores to power low-latency model inference. Collaborate with ML and AI infra teams on data contracts, observability, and SLAs; drive batch-to-real-time migrations and evaluate emerging streaming/feature store technologies.

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 and develop cloud-native backend services in Rust to process terabytes of data daily. Build and operate data-intensive microservices on AWS and Kubernetes, integrate with distributed databases and messaging systems (Kafka/RabbitMQ), and collaborate across teams to deliver observability features.

Build and operate large-scale data pipelines and orchestration for generative AI research, focusing on video/audio datasets, feature extraction, labeling, and dataset quality to improve model performance.

The Principal Customer Data Platform Engineer will manage the customer data architecture, focusing on tracking, identity resolution, compliance, and data governance for Airalo. They'll collaborate with cross-functional teams to ensure systematic data flow, integrity, and compliance across various platforms and lead architectural decisions.

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.