Senior Engineering Manager (Data Platform)
Core
Lead the Data Platform team to build a unified, scalable data foundation (Lakehouse, ingestion pipelines, governance) enabling analytics, ML, and AI initiatives for Preply's global tutoring platform.
Role type
Senior Engineering Manager (Data Platform)
Builds
Production-grade data assets, ingestion pipelines, data contracts, and self-service tooling for the company's Lakehouse.
Domain
EdTech / Data Engineering / AI Infrastructure
Deliverable
production ML models
Required skills
Engineering management, data architecture, systems thinking, team building, stakeholder partnership, technical strategy, data reliability, hiring leadership
Preferred skills
Modern data stack (Spark, Flink, Kafka, Airflow, dbt), cloud platforms (AWS/GCP), data governance, feature stores, GenAI/RAG data preparation, Agentic AI
Technologies
Spark, Flink, Kafka, Debezium, Airflow, dbt, AWS, GCP
Responsibilities
Lead and grow a high-performing data engineering team; Define long-term vision for the data foundation; Own execution and delivery of platform strategy; Provide technical leadership on architecture and trade-offs; Own data reliability and trust via SLOs and observability; Champion engineering best practices; Collaborate cross-functionally with Analytics, ML, and Product teams; Own hiring quality and team composition.
Seniority
Senior, hands-on IC manager
