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описание
Preply is a global ed-tech company that connects learners with tutors for personalized language learning. The platform leverages human-led, AI-enhanced technology to facilitate education for users across 180 countries. The Data Ingestion and Enrichment team maintains a scalable data foundation, ensuring that analytics, machine learning, and product features are supported by unified, production-grade data assets.
задачи
Design, build, and own the data lake, ensuring clear ownership, schemas, and quality expectations;
Develop and operate scalable batch and streaming ingestion pipelines;
Define and implement data contracts between producers and consumers, including validation and anomaly detection;
Build enrichment logic to standardize and contextualize data across domains;
Instrument pipelines with observability for freshness, latency, and cost metrics;
Apply consistent access control, classification, and privacy protections at ingestion;
Contribute to standardized ingestion templates, shared libraries, and platform tooling;
Collaborate with Product, Backend, Analytics, and ML partners to align on requirements and priorities.
требования
Experience building architectural patterns for large, high-scale applications;
Solid experience in platform or data engineering teams with a track record of leading multi-stakeholder deliveries;
Proficiency with cloud platforms (AWS/GCP) and modern DevOps practices;
Hands-on experience designing real-time and batch data processing infrastructures using frameworks like Spark, Flink, Spark streaming, Kafka, or Debezium;
Expertise with orchestration tools such as Airflow or dbt;
Strong communication and cross-functional collaboration skills;
English B2+;
Nice to have: Experience with continuous improvement and innovative problem-solving.
условия
Competitive financial package including equity, leave allowance, and health insurance;
Monthly allowance for lessons on Preply.com;
Learning & Development budget and dedicated time off for self-development;