data engineer for an educational project

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 DevOps practices
• Hands‑on experience designing and implementing real‑time and batch xqbhyrx 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