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13 дней назад

Principal Data Engineer (AI)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India/Europe
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
Principal Data Engineer (AI): Owning the end-to-end data platform and semantic layer that supply-chain products and AI agents reason over, with an accent on entity models, knowledge graphs, ingestion, and reliable multi-tenant data foundations. Focus on designing systems that remain correct under failure and scale, building production software from zero, and setting technical direction through architecture, code, and mentorship.

Location: Remote in Europe; Bengaluru or Chennai with hybrid work

Company

hirify.global provides an enterprise AI platform for supply-chain optimization, combining out-of-the-box decision intelligence with composable tools for business and technical users.

What you will do

  • Own the data platform that hirify.global products and AI agents use for supply-chain reasoning.
  • Design and develop the semantic layer, including entity models, ontologies, knowledge graphs, and APIs.
  • Build enterprise data foundations covering ingestion, data contracts, schema evolution, orchestration, storage, and query.
  • Ensure correctness, reliability, and incident recovery in a multi-tenant product.
  • Set technical direction through RFCs, design reviews, and production code while mentoring senior engineers.

Requirements

  • Production ownership of data platforms or semantic layers such as knowledge graphs, metadata or metrics layers, and entity models.
  • Strong first-principles reasoning about durability, failure recovery, and system limits at scale.
  • Experience building a system from zero at a startup and taking it to production scale.
  • Ability to write production code and work fluently with AI coding tools.
  • Clear communication and the ability to lead senior engineers without direct authority.

Nice to have

  • Property graphs or RDF/SPARQL.
  • Entity resolution or master data experience.
  • Spark, Kafka, Flink, or Iceberg.
  • Durable execution, systems-performance depth, or supply-chain data experience.

Culture & Benefits

  • Hands-on principal individual-contributor scope with direct collaboration with the Head of Engineering.
  • Opportunity to shape a supply-chain AI product used by large enterprises.
  • Hybrid work in Bengaluru or Chennai, with remote work available in Europe.
  • Returners are welcome.

Hiring process

  • Recruiter screen followed by an exploration call with engineering leadership.
  • Deep dive on a system built by the candidate, followed by a take-home build using any AI tools and a senior engineering panel presentation.
  • Final leadership and values conversation.

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