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.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 standardsТребования- 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 DevOps 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 toolsУсловия- A monthly allowance for lessons on Preply.Com- 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