Big Data Development Engineer Intern (Offline)

Bybit; Hong Kong; On-site; HKD 89,000 - 134,000; Full time

Benefits offered by this job

Study Growth Fund

Internal Events

Global Collaboration

Career Advancement

Internal Mobility

Job summary

Bybit invites an internship in data governance and AI-assisted data platforms. Join a fast-growing crypto derivatives exchange to shape the next-gen data quality and semantic layer across analytics, metrics, and dashboards.

You will prototype end-to-end solutions, collaborate with global teams, and gain hands-on experience with SQL, Python, and LLM-driven tooling in a real-world financial tech environment.

Qualifications

• Undergraduate or graduate student in Computer Science, Data Science, Statistics, or a related field.
• Solid proficiency in SQL and Python. Understanding of data warehouse fundamentals — dimensional modeling, layered architecture, metadata, and lineage.
• Hands-on experience with LLM application development: prompt engineering, RAG, Agent / tool-calling frameworks (e.g., LangChain, LlamaIndex, MCP).
• Structured thinking: distill governance pain points into well-defined problems with quantifiable success criteria.
• Self-driven and comfortable with ambiguity — exploratory project with no predetermined answers.
• Bonus: experience with DataHub / OpenMetadata / Atlas, dbt, Great Expectations / Deequ, or similar tooling.
• Able to read technical materials in English; clear written communication skills.
• Minimum 3-month internship commitment, 5 days per week on-site.
• Fluent in Mandarin; fluent English is a plus.

Responsibilities

• Research & Benchmarking — survey industry and open-source approaches in AI + data governance; propose best-practice aligned with our tech stack.
• Data Model Governance — build AI-assisted model review capabilities and lineage-based asset identification.
• Metric Semantic Automation — extract and standardize metric definitions from SQL, lineage, and docs.
• Data Quality Automation — auto-generate quality rules from profiling; detect anomalies and drift; propose remediation.
• MVP Delivery — execute end-to-end project across problem definition, design, prototype, deployment, and quantified results.
• Documentation & Communication — produce designs, methodologies, results, and share with stakeholders.

Skills

SQL

Python

Spark / Flink

Data warehouse fundamentals

LangChain

LlamaIndex

LLM applications

Mandarin fluency

Education

Undergraduate or graduate student in Computer Science/Data Science/Statistics

Tools

dbt

OpenMetadata

Atlas

DataHub

Job description

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.

Key Responsibilities:

• Research & Benchmarking — Survey industry and open-source approaches in AI + data governance (metadata & lineage platforms, semantic layers, data quality frameworks, NL2SQL / NL2Metric); produce a best-practice proposal adapted to our tech stack.
• Data Model Governance — Build AI-assisted model review capabilities: naming convention and layering (ODS/DWD/DWS/ADS) validation, duplicate and redundant model detection, lineage-based identification of unused / low-value / high-cost assets, and automated refactoring recommendations.
• Metric Semantic Automation — Automatically extract and standardize metric definitions from SQL, lineage, and documentation; detect definition conflicts and redundant builds of the same metric across different reports; maintain a machine-readable semantic layer to support natural language metric queries.
• Data Quality Automation — Auto-generate quality rules based on data profiling and lineage (replacing hand-written rules); perform anomaly detection on data volume, distribution, timeliness, and schema drift; conduct root cause analysis along lineage; implement automated alert grading and remediation recommendations (or auto-remediation).
• MVP Delivery — Run at least one end-to-end implementation across the three areas: problem definition → solution design → prototype → deployment on a real data domain → quantified results (coverage, precision/recall of issue detection, manual effort saved) → iteration.
• Documentation & Communication — Produce solution designs, evaluation methodologies, and results; present findings to platform and data stakeholders; deliver a reusable framework rather than one-off scripts.

Requirements:

• Undergraduate or graduate student in Computer Science, Data Science, Statistics, or a related field.
• Solid proficiency in SQL and Python. Understanding of data warehouse fundamentals — dimensional modeling, layered architecture, metadata, and lineage. Experience with Spark / Flink / Hive / StarRocks is a plus.
• Hands-on experience with LLM application development: prompt engineering, RAG, Agent / tool-calling frameworks (e.g., LangChain, LlamaIndex, MCP), with the ability to evaluate whether an LLM system is actually effective.
• Structured thinking: able to distill a vague governance pain point into a well-defined problem with quantifiable success criteria, and honestly articulate what the MVP validated and what it did not.
• Self-driven and comfortable with ambiguity — this is an exploratory project with no predetermined answers.
• Bonus: experience with DataHub / OpenMetadata / Atlas, dbt, Great Expectations / Deequ, or any metrics / semantic layer tooling.
• Able to read technical materials in English; clear written communication skills.
• Minimum 3-month internship commitment, 5 days per week on-site.
• Fluent in Mandarin is required; fluent English is a plus.

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.