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Data Engineering Lead

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Description

  • Data Management Excellence: Proven track record of building and managing robust DWH architectures.

  • Leadership Experience: Experience leading cross-functional teams (engineers + analysts).

  • Technical Depth: Deep understanding of ClickHouse, dbt, and modern data engineering practices.

  • MarTech Proficiency: Understanding of marketing technology and experience in automating analytics to drive growth.

  • AI Vision: A forward-thinking mindset with a practical interest in applying AI/LLMs to analytical and operational workflows.

  • Industry Context: Experience in or a strong passion for the Crypto/FinTech industry.

  • Our business is growing at an exponential scale.

  • Non-bureaucratic management that focuses on results.

  • Regular performance reviews to assess your progress.

  • Remote setup with access to our hubs in Dubai, Yerevan, London and Belgrade.

  • Compensation for medical expenses.

  • Provision of necessary equipment.

  • Employees get access to the most advanced AI models via .

  • 20 working days of paid vacation annually.

  • 11 days off per year.

  • 14 days of paid sick leave to support your health and recovery when needed.

Skills

What Lead Data Engineering jobs ask for — and how much of it you have →
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