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2 дня назад

Data Engineer (AI)

Тип работы
fulltime
Английский
b2
Страна
Taiwan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer (AI): Building the data engine for a multi-tenant AI platform with an accent on ELT pipelines, data governance, and knowledge-graph systems. Focus on structuring unstructured data for agentic products, enforcing secure data segregation, and supporting simulation and digital-twin workflows.

Location: Taipei, Taiwan

Company

hirify.global is a cybersecurity software company building the data engine for Magna's V3 platform.

What you will do

  • Design and build production ELT pipelines, data models, and storage for the core platform.
  • Implement data segregation, access control, and governance policies across multi-tenant workloads.
  • Develop wikification and knowledge-graph systems to structure unstructured data for agentic products.
  • Build data pipelines supporting simulation and the agentic twin.
  • Use AI development tools to accelerate pipeline development, data modeling, and debugging.
  • Collaborate with Backend, AI/LLM, and Security engineers to expose governed, well-modeled data.

Requirements

  • Bachelor's degree or higher in Computer Science, Data Engineering, or a related field.
  • Strong English communication skills and strong analytical and problem-solving abilities.
  • Production experience building ELT/ETL pipelines.
  • Experience with data modeling, data warehouses, or data lakes.
  • Proficiency in Python or SQL and familiarity with Airflow, dbt, Spark, or a similar data pipeline framework.
  • Experience with data governance, access control, or data segregation, plus an understanding of knowledge graphs or graph databases.

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.
  • Experience in enterprise software or cybersecurity products.

Culture & Benefits

  • Build the data foundation for the V3 platform and its dependent products.
  • Work on governance and knowledge systems for a multi-tenant AI platform.
  • Use AI-powered development tools and collaborate with global engineering teams.
  • Influence data architecture decisions across the platform.

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