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

• 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, and maintain the team's 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.
• Data Agent Development: Build data agents (e.g., MCP Skills) to automate data retrieval and analysis workflows, improving team productivity.
• Data Sourcing & Procurement: Build efficient, real-time data collection systems to scrape or procure the data resources the team needs — including but not limited to web scraping, procured API ingestion, and management of various procured accounts.

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 / 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 — and not just "vibe coding."
• Familiar with Git and standard version control practices.
• Working knowledge of Java and mainstream frameworks (e.g., Spring / Spring Boot), and of container-based deployment (Docker / Kubernetes).

Preferred

• GitHub open-source contributions (self-written or AI-assisted both acceptable; any domain: scrapers, full-stack, tooling, etc.).
• Experience building autonomous agents — LLM-based automation, conversational systems, MCP Servers, etc.
• Practical experience in machine learning, deep learning, time-series modeling, anomaly detection, etc.