5 часов назад
Lead Data Engineering (Crypto/FinTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Engineering (Crypto/FinTech): Building and scaling a reliable data platform for a digital asset wallet, spanning data warehouses, ingestion, transformation, streaming, serving, and marketing infrastructure with an accent on real-time workloads, governance, and AI-powered automation. Focus on leading the Data Engineering team, designing ClickHouse and dbt-based architecture, automating data quality and pipeline operations with AI/LLMs, and enabling self-service analytics across the company.
Location: Remote setup with access to hubs in Dubai, Yerevan, London, and Belgrade
Company
develops Wallet in Telegram, a digital asset solution embedded in Telegram with Crypto Wallet and self-custodial TON Wallet products.
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 across data warehousing, ingestion, transformation, streaming, and serving layers.
- Own architectural decisions, scalability, reliability, data quality, lineage, observability, SLAs, and governance.
- Apply AI and LLMs to pipeline development, anomaly detection, schema management, data quality, and internal natural-language data exploration tools.
- Develop 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 while partnering with Analytics, ML, Product, Finance, and Marketing.
Requirements
- Proven experience building and managing robust data warehouse architectures.
- Experience leading cross-functional teams of engineers and analysts.
- Deep understanding 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 passion for the crypto or fintech industry.
Culture & Benefits
- Remote work setup with access to company hubs.
- Results-focused, non-bureaucratic management and regular performance reviews.
- 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.
- Internal conferences, English courses, and corporate events.
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