Bybit - Senior Data Engineer
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. • Why Join UsAt Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include:- Study Growth Fund: We support your professional development and continuous learning.- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
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. • Routine Data Support: • Analytics System Development: Develop analytical systems and monitoring dashboards for business teams; produce data reports to support performance attribution and data-driven operational oversight. • Analytics System Development: • Data Asset Governance: Author application-layer data warehouse documentation, establish field-level data standards, and lead company-wide data asset management. • Data Asset Governance: • Data Agent Development: Build data agents (e.g., MCP Skills) to automate data retrieval and analysis workflows, improving team productivity. • Data Agent Development: • 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. • Data Sourcing & Procurement:
Benefits
• At Bybit, we are committed to fostering a supportive and enriching work environment. • Study Growth Fund: We support your professional development and continuous learning. • Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. • Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. • Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. • Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
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