Lead Data Platform Engineer

We're hiring a Senior Data Platform Lead to build and scale a next-generation data platform in a modern, fast-growing international SaaS company.
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This is not a traditional data role focused on reporting. You'll design a flexible, 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. xqbhyrx Someone who can translate abstract problems into scalable, production-ready systems and collaborate closely with product, risk and engineering teams.