data engineer for an educational project

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.

• 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.

• 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 tools.

• 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.