2 дня назад
Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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