We're hiring a Senior Data Platform Lead to build and scale a next-generation data platform in a modern, fast-growing international Saa S company. This is not a traditional data role focused on reporting. You'll design a versátil, auditable platform that becomes the foundation for automated credit decisioning, supplier and transaction scoring, predictive risk models, early-warning systems and AI-driven workflows. The ambition is clear: within the next 3 years, most credit decisions and operational processes will be automated or AI-assisted—while maintaining full traceability, explainability and human oversight where needed. You'll tackle a true systems design challenge , owning the platform architecture end-to-end: defining modelling patterns, event-driven structures, transformation layers, and ensuring performance, scalability and reliability. The platform must support new products, events and risk logic without hard-coding—built for flexibility from day one. Key responsibilities:



Design and evolve event-driven, ledger-based data models and lifecycle tracking Build robust ingestion and transformation pipelines across transactional and external data Ensure data quality, observability and reliability through testing and monitoring frameworks Set engineering best practices (CI/CD, code quality, documentation) and lead a high-performing data team Tech stack: dbt, AWS (S3, Athena/Presto/Trino), Airflow, Python We're looking for a senior profile with strong experience in data architecture and advanced data modelling (event-driven, state-based or similar), combined with hands-on engineering skills and leadership experience. Someone who can translate abstract problems into scalable, production-ready systems and collaborate closely with product, risk and engineering teams.

📌 Lead data platform engineer (Valencia do Sil)
🏢 Hays
📍 Valencia do Sil