Top Data Engineer Jobs in Spain

Build and maintain Snowflake-based data assets and metrics layers using dbt, SQL, and Python. Design reliable data models and pipelines, enable self-service analytics, collaborate with stakeholders, document definitions and best practices, and deliver scalable analytics solutions.

Lead architecture and delivery of AI-enabled CRM, customer engagement and banker experience platforms. Drive platform strategy across cloud, APIs, workflow orchestration and AI, establish engineering standards, ensure security/privacy/responsible AI, mentor engineers, and influence stakeholders to deliver scalable, resilient customer and colleague experiences.

Lead design and delivery of scalable, cloud-native software and data/AI-enabled platforms for Business Banking. Build APIs, services and platform capabilities, drive architecture and engineering standards, mentor engineers, champion CI/CD, observability and DevSecOps, and support production platforms to deliver customer and colleague digital experiences.

Design, build, and operate high-frequency, event-driven data pipelines into Snowflake; implement reverse ETL; model data with dbt; deploy cloud infra as code; monitor and improve production reliability, latency, quality, and cost; mentor teammates and establish data engineering standards.

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.

Own and scale the ingestion pipeline and backend abstractions for high-throughput AI tracing data. Optimize ClickHouse schemas and queries, operate Langfuse Cloud and self-hosted deployments, and build infrastructure-heavy features that enable product engineers to ship data-heavy capabilities.

Lead design and implementation of scalable, real-time data infrastructure. Build and optimize production-grade streaming pipelines, employ spec-driven development and agentic AI workflows, implement testing/monitoring, take ownership of systems, and mentor junior engineers.

Design, build, and own scalable data platforms across Azure, AWS, and Snowflake. Architect warehouses, semantic layers, ELT/ETL pipelines, and AI/ML data infrastructure (feature stores, vector DBs, RAG/LLM-ready). Lead standards for modeling, observability, CI/CD, automation, governance, and mentor teams while partnering cross-functionally to drive data strategy.

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.

Design, build, and scale ETL/ELT and real-time data pipelines for AI workloads (RAG, fine-tuning, batch inference). Transform unstructured data into vectorized formats, manage feature stores and vector databases, enforce data quality/governance, integrate event systems (Kafka), and collaborate with ML and engineering teams.

The Senior Data Engineer designs, maintains, and optimizes ML applications and data pipelines, ensuring compliance and quality while mentoring junior engineers.

As a Senior Data Engineer, you will design and maintain ML applications, manage workflows, build data pipelines, and mentor junior engineers within a global team.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.