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

📌 data engineer for an educational project (Barcelona)
🏢 Enfint
📍 Barcelona