AI Data Engineer (Data Governance, Petabyte-scale) — LG AI Research (Seoul)
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Curated from the institution or job-board posting; found 2026-08-24
Source last checked 2026-08-24
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Professional / OfficeIT & Tech
Description
✨ AI translation
LG AI Research is recruiting an AI Data Engineer for its Data Governance team. This is one of the lab's roles published in English as well as Korean.
■ Duties
- Design and implement data-governance systems (catalog, access control, audit); build SDKs and command-line tools for research workflows; run Kubernetes-based data pipelines on Google Cloud; optimise petabyte-scale storage.
■ Who can apply
- 7+ years of software engineering including 3+ years in data infrastructure or platform work, with GCP, Kubernetes, Python backend development, distributed systems and data pipelines.
■ Note for foreign applicants
- The posting is bilingual but does not state a visa or language policy — confirm both with the company before applying.
■ Terms
- Full-time. Salary not disclosed.
■ How to apply
- Through the original posting (rolling).
Original posting: 4223874005" target="_blank" rel="noopener nofollow">https://job-boards.greenhouse.io/lgairesearch/jobs/4223874005
■ Duties
- Design and implement data-governance systems (catalog, access control, audit); build SDKs and command-line tools for research workflows; run Kubernetes-based data pipelines on Google Cloud; optimise petabyte-scale storage.
■ Who can apply
- 7+ years of software engineering including 3+ years in data infrastructure or platform work, with GCP, Kubernetes, Python backend development, distributed systems and data pipelines.
■ Note for foreign applicants
- The posting is bilingual but does not state a visa or language policy — confirm both with the company before applying.
■ Terms
- Full-time. Salary not disclosed.
■ How to apply
- Through the original posting (rolling).
Original posting: 4223874005" target="_blank" rel="noopener nofollow">https://job-boards.greenhouse.io/lgairesearch/jobs/4223874005
Location
LG Sciencepark, Magok, Gangseo-gu, Seoul
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