Описание Preply creates personalized language-learning experiences by connecting learners with tutors. Its human-led, technology-enabled platform serves learners in 180 countries, with over 100,000 tutors teaching more than 90 languages. The Data Ingestion and Enrichment team provides a trusted, scalable data foundation for analytics, machine learning, and product features through governed, production-grade data assets. Задачи * Build and own Preply’s data lake and trusted ingestion and enrichment foundations * Develop and operate scalable batch and streaming ingestion pipelines for real-time and analytical use cases * Design raw, standardized, and consumption data layers with clear responsibilities, lineage, and retention strategies * Define and implement data contracts covering schemas, freshness, volume, and quality guarantees * Embed validation, anomaly detection, and quality checks early in the ingestion lifecycle * Standardize how quality metrics are measured, monitored, and surfaced * Build enrichment logic that joins, standardizes,



and contextualizes data across domains * Support historical tracking, point-in-time correctness, and dataset versioning * Instrument ingestion pipelines with freshness, latency, data quality, and cost metrics * Contribute to SLOs, alerting, and incident response playbooks * Apply access control, classification, privacy protections, masking, minimization, and anonymization at ingestion time * Contribute to standardized ingestion templates, shared libraries, and platform tooling * Improve dataset discoverability, documentation, and metadata * Collaborate with Product, Backend, Analytics, and ML partners on ingestion requirements, trade-offs, and priorities * Promote shared ownership of data quality and platform standards Требования * Experience building architectural patterns for large, high-scale applications, including well-designed APIs, high-volume data pipelines, or efficient algorithms * Solid experience in platform or data en

📌 data engineer for an educational project (España)
🏢 Preply
📍 España