Preply
Preply
501 – 1000 Darbinieki
B2CIzglītībaTirdzniecības vieta
Preply ir izglītības tirgus individuālām, tiešsaistē notiekošām mācībām. Tās platforma palīdz apmācāmajiem atrast profesionālus pasniedzējus individuālām valodu un citu priekšmetu nodarbībām. Platformā pieejami rīki pasniedzēju meklēšanai, atsauksmju apskatei, nodarbību plānošanai, drošiem maksājumiem, mācībām mobilajās ierīcēs un progresa izsekošanai. Preply piedāvā arī korporatīvo valodu apmācību, sniedzot privātpersonām un organizācijām elastīgas iespējas attīstīt praktiskās prasmes un sagatavoties eksāmeniem.

Senior Engineering Manager, Data Platform - Preply (Hybrid, Ukraine)

Lead Preply’s data platform organization and engineering team in a hybrid Ukraine-based role. Shape Lakehouse, ingestion, governance, and AI-ready infrastructure for a global language-learning marketplace.

Apraksts

  • Lead and scale a high-performing data engineering team
  • Support engineers through regular feedback, mentorship, and career growth
  • Set the long-term direction for Preply’s data foundation, including the Lakehouse, ingestion layers, data contracts, enrichment, and governance
  • Partner with Analytics, ML Platform, Data Science, and Product to identify and prioritize high-impact opportunities
  • Turn strategy into practical delivery plans while balancing foundational investment against immediate business needs
  • Guide technical decisions across batch and streaming ingestion, data modeling, quality, and governance
  • Define SLOs, observability practices, and incident response processes for data pipelines
  • Improve code quality, operational excellence, development practices, and technology evolution
  • Align business stakeholders on priorities, data ownership, standards, and outcomes
  • Own hiring standards, team structure, and the team’s operating model

Prasības

  • At least 8 years of experience in software or data engineering
  • At least 5 years of engineering management experience
  • Background leading data or platform engineering teams
  • People-focused leadership style with strong team-building capability
  • Sound technical judgment and systems-thinking skills
  • Experience facilitating architecture discussions and assessing technical trade-offs
  • Demonstrated success hiring, coaching, and retaining high-performing teams, including senior engineers
  • Experience working with Analytics, Data Science, ML, and Product teams
  • Strong communication and stakeholder leadership abilities
  • Evidence of delivering measurable, business-oriented results
  • Leadership grounded in ethics, empathy, transparency, accountability, and ownership
  • Preferred: familiarity with Spark, Flink, Kafka, Debezium, Airflow, dbt, AWS or GCP, and modern DevOps practices
  • Preferred: experience leading data platforms adopted by multiple teams in fast-growing companies
  • Preferred: experience operating a data platform as a product, including data contracts, self-service onboarding, discoverability, and adoption measurement
  • Preferred: experience applying data governance, privacy, and compliance controls at ingestion
  • Preferred: familiarity with feature stores, ML data pipelines, or GenAI/RAG data preparation
  • Preferred: experience using Agentic AI for architecture, planning, and decision-making while maintaining human judgment, quality gates, and safety nets

Priekšrocības

  • Monthly allowance for Preply.com lessons
  • Learning and development budget
  • Time off dedicated to self-development
  • Competitive financial package with equity
  • Leave allowance
  • Health insurance
  • Relocation package for joining the Preply Barcelona Hub
  • Access to free mental health support platforms
  • Access to Gympass partner wellness and gym centers across Spain
  • Open, collaborative, dynamic, and diverse workplace culture

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