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 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 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

📌 data engineer for an educational project (Barcelona)
🏢 Enfint
📍 Barcelona