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Bybit is a leading global cryptocurrency exchange and digital financial platform serving over 80 million users across 200+ countries. Founded in 2018, the company operates a seamless ecosystem spanning trading, payments, wealth management, custody, institutional services, and Web3.
As a Senior Data Engineer, you will drive data infrastructure and analytics initiatives across the organization. Your responsibilities include:
**Routine Data Support:** Leverage big data technologies to build a structured data delivery system for Compliance, Trading, and other business teams. Ensure timely, accurate, and traceable data outputs while maintaining existing data development workflows.
**Analytics System Development:** Develop analytical systems and monitoring dashboards for business teams. Produce data reports to support performance attribution and data-driven operational oversight.
**Data Asset Governance:** Author application-layer data warehouse documentation, establish field-level data standards, and lead company-wide data asset management initiatives.
**Data Agent Development:** Build data agents (e.g., MCP Skills) to automate data retrieval and analysis workflows, improving team productivity and reducing manual effort.
**Data Sourcing & Procurement:** Build efficient, real-time data collection systems including web scraping, API ingestion, and management of procured data accounts to support team needs.
Bybit values innovation, user-first thinking, and high-performance execution. The role offers exposure to cutting-edge fintech infrastructure, autonomous systems, and AI-driven workflows at global scale.
**Requirements:**
- Strong Python skills for data analysis and modeling (Pandas, NumPy, Scikit-learn, Matplotlib, PyTorch, TensorFlow); solid coding fundamentals
- Proficient with big data frameworks (Spark, Hadoop) and large-scale data processing; familiar with one or more OLAP engines such as Presto, Doris, StarRocks, or ClickHouse
- Strong SQL skills, capable of complex queries and data modeling independently
- Experienced with AI coding tools (e.g., Codex, Claude Code, Kilo Code); able to integrate AI into daily workflows
- Familiar with Git and standard version control practices
- Working knowledge of Java and mainstream frameworks (e.g., Spring, Spring Boot), and container-based deployment (Docker, Kubernetes)
**Preferred:**
- GitHub open-source contributions (self-written or AI-assisted)
- Experience building autonomous agents (LLM-based automation, conversational systems, MCP Servers)
- Practical experience in machine learning, deep learning, time-series modeling, or anomaly detection
