6 часов назад
Lead Data Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Engineer (AI): Building the data engine and governance foundation for a national-scale AI platform with an accent on reliable pipelines, data modeling, and multi-tenant isolation. Focus on designing knowledge-graph systems, supporting simulation and agentic workflows, and setting technical direction while growing the data engineering function.
Location: Taipei, Taiwan
Company
Building a next-generation AI platform backed by and Wistron, with infrastructure designed for governments and major enterprise partners.
What you will do
- Own the architecture and technical direction of the platform's data engine.
- Design data governance, segregation, access control, and reliability standards for national- and cross-organization-scale infrastructure.
- Lead the development of wikification and knowledge-graph systems for structuring unstructured data.
- Build and oversee trustworthy, well-modeled pipelines supporting simulation and agentic workflows.
- Hire, mentor, and establish standards for a growing data engineering team.
- Collaborate with Backend, AI/LLM, Security, and Blockchain engineers to expose governed data safely.
Requirements
- 7+ years of experience in data engineering or data science, including leadership or technical-lead experience.
- Bachelor's degree or higher in Computer Science, Data Engineering, Data Science, or a related field.
- Strong English communication skills required.
- Production experience building and leading ELT/ETL pipelines at scale.
- Deep experience with data modeling, data warehouses, or data lakes.
- Proficiency in Python or SQL and hands-on experience with Airflow, dbt, Spark, or a similar data pipeline framework.
Nice to have
- Experience with wikis, knowledge bases, or knowledge-graph construction.
- Experience supporting AI/LLM or agentic systems with data pipelines.
- Experience with simulation data or digital-twin systems.
- Background in enterprise software, cybersecurity, gov-tech, or other highly regulated industries.
- Previous experience leading or mentoring a data team.
Culture & Benefits
- Opportunity to own the data foundation of infrastructure intended to operate at national scale.
- Early-stage opportunity to shape data governance and knowledge systems.
- Use AI development tools to accelerate pipeline development, data modeling, and debugging.
- Collaboration with global engineering teams.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →