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Вакансия опубликована 12 дн. назад - шансы на ответ снижаются.
12 дней назад
Head of Data Engineering (Web3)
hhВакансия с HeadHunter. Контакт ведёт на hh.ru
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Описание вакансии
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TL;DR
Head of Data Engineering (Web3): Leading the Data Engineering function and evolving a scalable data platform across DWH, ingestion, transformation, streaming, and serving layers with an accent on reliability, governance, real-time infrastructure, and AI-powered automation. Focus on building internal LLM tools, scaling low-latency data systems for trading and payments, and enabling self-service analytics for Marketing, ML, Product, and Finance.
Location: Remote from Serbia; access to hubs in Dubai, Yerevan, London, and Belgrade.
Company
The Open Platform develops Web3 infrastructure and consumer-facing products in Telegram, including wallets, developer resources, SDKs, APIs, marketplaces, and ecosystem applications.
What you will do
- Build, lead, and scale the Data Engineering team, including hiring, performance management, and technical development.
- Define the long-term data platform strategy and architecture across DWH, ingestion, transformation, streaming, and serving layers.
- Apply AI and LLMs to pipeline development, data quality, anomaly detection, schema management, and internal natural-language data tools.
- Own marketing data infrastructure for attribution, segmentation, campaign optimization, and real-time growth analytics.
- Build low-latency streaming infrastructure for trading, payments, and risk-critical workloads.
- Establish standards for data quality, lineage, observability, SLAs, governance, and self-service access.
Requirements
- More than 6 years of experience and a proven record of building and managing robust DWH architectures.
- Experience leading cross-functional teams of engineers and analysts.
- Deep knowledge of ClickHouse, dbt, and modern data engineering practices.
- Understanding of marketing technology and experience automating analytics to support growth.
- Practical interest in applying AI and LLMs to analytical and operational workflows.
- Experience in or strong interest in the Crypto/FinTech industry.
Culture & Benefits
- Non-bureaucratic management focused on results and regular performance reviews.
- Remote work with access to company hubs.
- Medical expense compensation and necessary work equipment.
- Access to advanced AI models through mira.tg.
- 20 working days of paid vacation, 11 additional days off, and 14 days of paid sick leave annually.
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