Senior Data Engineer

Responsibilities

• Design, build, and own Preply’s data lake and ingestion foundations
• Develop and operate scalable batch and streaming ingestion pipelines
• Implement data contracts, validation, and anomaly detection
• Build enrichment logic for data standardization and contextualization
• Instrument pipelines with observability for freshness, latency, and cost
• Apply governance, access control, and privacy protections at ingestion
• Enable self-service through standardized templates and shared libraries
• Collaborate with Product, Backend, and ML teams to align on requirements

Requirements

• Experience building architectural patterns for large, high-scale applications
• Proven track record in platform or data engineering leading multi-stakeholder deliveries
• Familiarity with cloud platforms (AWS/GCP) and modern DevOps practices
• Hands-on experience with Spark, Flink, Kafka, or Debezium
• Expertise with orchestration tools like Airflow or dbt
• Strong problem-solving skills and proactive mindset
• English proficiency (B2+)

About the Company

Preply is a category-defining Ed-Tech unicorn that connects learners with tutors globally. We use a human-led, tech-enabled approach to transform education through personalized learning experiences.