Experteer Overview ¿Tiene las cualificaciones y habilidades adecuadas para este trabajo? Descúbralo a continuación y pulse en "solicitar" para ser considerado. As Senior Data Engineer, you will shape a centralized data ecosystem that serves 60+ sub-brands, turning raw data into a semantic layer for BI, operations, and AI. You’ll build scalable data products, govern data quality, and lead cross-functional data initiatives. You’ll work with Analytics, ML, and AI teams to deliver high-value solutions in a multi-brand environment. This role offers impact at scale, enabling data-driven decisions across the group.Compensaciones / Incentivos• Design and deliver scalable data products providing a unified source of truth across 60+ brands• Build and optimize robust ETL/ELT pipelines for large volumes of structured and unstructured data• Lead secure, cost-efficient data architecture design and enforce best practices in modeling, orchestration, and observability• Implement data governance including lineage, metadata management,



and quality controls for AI/ML use cases• Collaborate with Analytics, ML, and AI teams to translate business needs into technical solutions• Tune and optimize data platforms focusing on indexing, query performance, and schema evolution• Mentor junior engineers and foster a culture of technical excellenceResponsabilidades• 7+ years of professional data engineering or data management experience• Deep hands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog)• xqbhyrx Expert SQL skills with performance optimization and advanced data modeling (Dimensional, Star Schema, Snowflake)• Proficiency in at least one major cloud provider (AWS, GCP) and orchestration tools like Airflow or dbt• Experience with multiple RDBMS (PostgreSQL, SQL Server, Oracle)• Strong Docker/Kubernetes skills and CI/CD practices• Experience with data versioning, schema evolution, and distributed metadata managementRequisitos principales•

📌 Data Engineer (Barcelona)
🏢 Talent
📍 Barcelona