ОписаниеPreply 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.ЗадачиBuild and own Preply’s data lake and trusted ingestion and enrichment foundationsDevelop and operate scalable batch and streaming ingestion pipelines for real-time and analytical use casesDesign raw, standardized, and consumption data layers with clear responsibilities, lineage, and retention strategiesDefine and implement data contracts covering schemas, freshness, volume, and quality guaranteesEmbed validation, anomaly detection, and quality checks early in the ingestion lifecycleStandardize how quality metrics are measured, monitored, and surfacedBuild enrichment logic that joins, standardizes, and contextualizes data across domainsSupport historical tracking, point-in-time correctness, and dataset versioningInstrument ingestion pipelines with freshness, latency, data quality, and cost metricsContribute to SLOs, alerting, and incident response playbooksApply access control, classification, privacy protections, masking, minimization, and anonymization at ingestion timeContribute to standardized ingestion templates, shared libraries,



and platform toolingImprove dataset discoverability, documentation, and metadataCollaborate with Product, Backend, Analytics, and ML partners on ingestion requirements, trade-offs, and prioritiesPromote shared ownership of data quality and platform standardsТребованияExperience building architectural patterns for large, high-scale applications, including well-designed APIs, high-volume data pipelines, or efficient algorithmsSolid experience in platform or data engineering teams, or equivalent impactEvidence of leading multi-stakeholder deliveriesFamiliarity with AWS, GCP, or equivalent cloud platformsFamiliarity with modern DevOps practicesHands‑on experience designing and implementing real‑time and batch data processing infrastructureExceptional problem‑solving skills and a proactive, innovative mindset focused on continuous improvementStrong communication and cross‑functional collaboration skillsEnglish at B2+ levelNice to have: Spark, Flink, Spark Streaming, Kafka, Debezium, Airflow, dbt, or similar toolsУсловияA monthly allowance for lessons on Preply.comLearning & Development budgetTime off for self-developmentAttractive relocation package to join the Preply Barcelona HubCompetitive financial package with equity, leave allowance, and health insuranceFree mental health support platformsAccess to Gympass-partnered wellness and gym centers throughout Spain
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📌 data engineer for an educational project (Barcelona)
🏢 Enfint
📍 Barcelona