Data Engineering Lead

3 ноября 2026 г.

Удалённо

Lead

Dubai, Yerevan, London, Belgrade

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Проект связан с криптовалютой или web3

Описание

A Telegram-native all-in-one crypto app with tens of millions of users worldwide is hiring a Data Engineering Lead to head the function and bring the data platform to the next level of scale, reliability and intelligence. The role owns architecture and evolution across DWH, ingestion, transformation, streaming and serving layers, and drives AI-powered automation across data pipelines and operations. The leader partners closely with Analytics, ML, Product and Finance to deliver a self-service, well-governed platform

Обязанности

Build, lead, and scale the Data Engineering team, owning hiring, performance, and technical growth
Define and execute the long-term vision for the data platform across DWH, ingestion, transformation, streaming, and serving layers
Apply AI/LLMs to automate pipeline development, data quality, anomaly detection, and schema management, and build internal AI tools for natural-language data exploration without SQL
Own the pipelines powering attribution, segmentation, and campaign optimization for marketing and growth teams
Build and scale low-latency infrastructure for trading, payments, and risk-critical workloads
Set the bar for data quality, lineage, observability, SLAs, and governance across the company
Be a trusted partner to Analytics, ML, Product, Finance, and Marketing with a self-service, well-governed platform

Требования

Proven track record of building and managing robust DWH 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 in automating analytics to drive growth
Forward-thinking mindset with a practical interest in applying AI/LLMs to analytical and operational workflows
Experience in or a strong passion for the Crypto/FinTech industry

Условия

Non-bureaucratic management that focuses on results
Regular performance reviews to assess your progress
Remote setup with access to hubs in Dubai, Yerevan, London and Belgrade
Compensation for medical expenses
Provision of necessary equipment
Access to the most advanced AI models
20 working days of paid vacation annually
11 days off per year
14 days of paid sick leave

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