Senior Data Engineer

About Us

• 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.

• 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).

• 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 Us
At 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.