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 engineering teams, or equivalent impact Evidence of leading multi-stakeholder deliveries Familiarity with AWS, GCP, or equivalent cloud platforms Familiarity with modern Dev Ops practices Hands‑on experience designing and implementing real‑time and batch data processing infrastructure Exceptional problem‑solving skills and a proactive, innovative mindset focused on continuous improvement Strong communication and cross‑functional collaboration skills English at B2+ level Nice to have: Spark, Flink, Spark Streaming, Kafka, Debezium, Airflow, dbt, or similar tools Условия A monthly allowance for lessons on Learning & Development budget Time off for self-development Attractive relocation package to join the Preply Barcelona Hub Competitive financial package with equity, leave allowance, and health insurance Free mental health support platforms Access to Gympass-partnered wellness and gym centers throughout Spain #J-18808-Ljbffr

📌 Data Engineer For An Educational Project (Barcelona)
🏢 Enfint
📍 Barcelona