Preply
Preply
501 – 1 000 Xodimlar
B2CMarketpleysTa’lim
Preply shaxsiylashtirilgan va jonli taʼlim uchun mo‘ljallangan taʼlim bozoridir. Uning platformasi o‘quvchilarga tillar va boshqa fanlar bo‘yicha yakkama-yakka darslar o‘tish uchun professional o‘qituvchilarni topishga yordam beradi hamda o‘qituvchini izlash, sharhlarni ko‘rish, darslarni rejalashtirish, xavfsiz to‘lovlar, mobil taʼlim va rivojlanishni kuzatish vositalarini taqdim etadi. Preply korporativ til taʼlimini ham qo‘llab-quvvatlab, jismoniy shaxslar va tashkilotlarga amaliy hamda imtihonga yo‘naltirilgan ko‘nikmalarni rivojlantirishning moslashuvchan usullarini taklif qiladi.

Senior Engineering Manager, Data Platform — Barcelona Hybrid

Lead Preply’s data platform and Lakehouse engineering organization in Barcelona. Build dependable data foundations supporting language learning, analytics, machine learning, and AI products.

Tavsif

  • Lead and scale a high-performing data engineering team
  • Build a culture of ownership, continuous improvement, and technical excellence
  • Support engineers through regular feedback, mentorship, and career development
  • Cultivate an inclusive, collaborative team environment
  • Set the long-term direction for Preply’s data foundation, spanning the Lakehouse, ingestion layers, data contracts, enrichment, and governance
  • Partner with Analytics, ML Platform, Data Science, and Product teams to identify and prioritize high-impact opportunities
  • Turn strategy into achievable delivery plans while balancing platform investment with immediate business needs
  • Provide technical direction across batch and streaming ingestion, data modeling, data quality, and governance
  • Define SLOs, observability practices, and incident response processes for data pipelines
  • Improve code quality, operational excellence, engineering processes, and technology evolution
  • Work with stakeholders across the business to align priorities, data ownership, standards, and outcomes
  • Maintain hiring quality, team structure, and the team’s operating model

Talablar

  • At least 8 years of software or data engineering experience
  • At least 5 years of engineering management experience
  • Background leading data or platform engineering teams
  • People-focused leadership and strong team-building ability
  • Sound technical judgment and systems thinking
  • 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
  • Clear communication and effective stakeholder leadership
  • Evidence of improving performance through measurable goals
  • Leadership grounded in ethics, empathy, transparency, accountability, and ownership
  • Hands-on experience with modern data stack technologies such as Spark, Flink, Kafka, Debezium, Airflow, and dbt
  • Familiarity with AWS, GCP, or an equivalent cloud platform
  • Familiarity with contemporary DevOps practices
  • Experience leading data platforms serving multiple teams in fast-growing companies
  • Experience treating a data platform as a product, including data contracts, self-service onboarding, discoverability, and adoption measurement
  • Experience managing data governance, privacy, and compliance at ingestion
  • Familiarity with feature stores, ML data pipelines, or GenAI/RAG use cases
  • Experience applying Agentic AI to architecture, planning, and decision-making while preserving human judgment and implementing quality gates and safety nets
  • Must relocate to Barcelona before the start date
  • Visa sponsorship is available for relocation

Imtiyozlar

  • Monthly allowance for lessons on Preply.com
  • Learning and development budget
  • Dedicated time off for self-development
  • Equity
  • Leave allowance
  • Health insurance
  • Relocation package
  • Visa sponsorship
  • Free access to mental health support platforms
  • Access to Gympass-partnered wellness and gym centers across Spain

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