Top Data Engineer Jobs in Spain

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.

The role involves managing and innovating data governance platforms like Databricks Unity Catalog, ensuring platform security and compliance, and collaborating with cross-functional teams to implement data governance 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 at Ebury, you will design and maintain data pipelines, contribute to AI/ML infrastructure, and collaborate with stakeholders to drive business impact.

The Senior Data Platform Engineer is responsible for designing, developing, and maintaining Ebury's data platform, collaborating with stakeholders, and driving innovations in data capabilities.

Lead the Data Platform team, guiding technical direction, implementing data solutions on Azure and Databricks, ensuring quality and compliance, mentoring engineers, and overseeing migrations for productized data platforms.

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 Data Scientist/ML Engineer will analyze data, develop data science solutions, and collaborate with teams to enhance ad effectiveness while optimizing machine learning models.

As a Senior Data Engineer, you will deliver complex projects, manage customer relationships, and mentor junior engineers while using Databricks and various cloud platforms.

The DataOps Engineer will build and manage a modern data platform, ensuring robust infrastructure, automation, and observability in a global fintech setting.

The Senior Data Engineer will build and maintain scalable data pipelines, optimize costs, and redefine data architecture for growth, performance, and reliability, collaborating with various teams to ensure data quality and efficiency.

The Senior Data Engineer will redesign and simplify the data warehouse infrastructure, improve system stability, optimize data pipelines, and oversee infrastructure performance. Responsibilities include conducting audits, making architectural proposals, and supporting ML/AI workflows.

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.

Design and build AI-driven data products and investment platforms, developing ETL pipelines, ensuring data quality, and integrating structured and unstructured data.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

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

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

As an Analytics Engineer, you will design and maintain data models, ensure data quality, and support self-service analytics in collaboration with engineering and business teams.

Manage and optimize LAN, WAN, and Wi-Fi for manufacturing and office environments. Lead network setup for new sites, troubleshoot complex issues, and ensure operational best practices across locations.

Design, build, test, deploy and automate core modular data platform components on Azure (ADF, Databricks, ADLS/Delta Lake). Enable internal customers, mentor peers, optimize cost/performance, and ensure governance, security and multi-tenant productization across the data platform.

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.

Design and build reliable, performant data pipelines for large payment datasets. Own end-to-end data flows, drive data quality, implement transformations (dbt), operate on StarRocks and Flink/Spark in cloud (AWS/GCP), collaborate cross-functionally, establish engineering standards, mentor engineers, and shape CI/CD and incident practices.