全职 (Senior) Data Engineer 工作, 薪水, Bybit Federal Territory 公司招聘中 - Ricebowl

About Us

Established in March 2018, Bybit is one of the fastest growing cryptocurrency derivatives exchanges, with more than 70 million registered users. We offer a professional platform where crypto traders can find an ultra-fast matching engine, excellent customer service and multilingual community support. We provide innovative online spot and derivatives trading services, mining and staking products, as well as API support, to retail and institutional clients around the world, and strive to be the most reliable exchange for the emerging digital asset class.

Our core values define us. We listen, care, and improve to create a faster, fairer, and more humane trading environment for our users. Our innovative, highly advanced, user-friendly platform has been designed from the ground-up using best-in-class infrastructure to provide our users with the industry's safest, fastest, fairest, and most transparent trading experience. Built on customer-centric values, we endeavour to provide a professional, 24/7 multi-language customer support to help in a timely manner.

As of today, Bybit is one of the most trusted, reliable, and transparent cryptocurrency derivatives platforms in the space.

Responsibilities

• Daily Data Support: Build structured data delivery systems for compliance, trading, and other business teams, ensuring outputs are timely, accurate, and traceable.
• Analytics System Development: Develop analytics systems and monitoring dashboards for business teams; produce data reports to support performance attribution and data-driven operations.
• Data Asset Governance: Document application-layer data warehouse assets, establish field-level data standards, write data dictionaries, and drive internal BI data asset management.
• Data Agent Development: Build data intelligent agents (e.g. MCP Skills) to automate data retrieval and analysis workflows, improving team efficiency.
• External Data & Vendor Management: Web scraping, data vendor onboarding, and general team support on non-technical day-to-day tasks.

Requirements

• 1–3 years of relevant experience; outstanding fresh graduates will also be considered.
• Strong Python skills for data analysis and modeling (Pandas, NumPy, Scikit-learn, Matplotlib, etc.); solid coding fundamentals — vibe coding alone is not sufficient.
• Proficient with big data frameworks (Spark, Hadoop) and large-scale data processing.
• Strong SQL skills; able to independently handle complex queries and data modeling.
• Familiar with web scraping and browser automation.
• Experience using AI coding tools (e.g. Codex, Claude Code, Kilo Code) and ability to integrate AI into daily workflows.
• Familiar with Git and standard version control practices.

Bonus Points

• GitHub open-source contributions (self-written or AI-assisted; any domain: scraping, full-stack, tooling, etc.).
• Experience building autonomous agents — LLM-based automation, conversational systems, MCP Servers; familiarity with tools like Dify or Coze.