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Data Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineer (AI) (RAG/vector infrastructure): Building real-time data pipelines, vector database infrastructure, semantic layers, and data guardrails for agentic AI systems with an accent on unstructured enterprise data, retrieval performance, and data quality. Focus on designing RAG pipelines, creating knowledge graphs, detecting PII and bias, and deploying reliable CI/CD infrastructure.

Location: Granada, Spain

Company

hirify.global operates and modernizes mission-critical technology systems for leading businesses, using AI-powered insights to support smarter decisions and innovation.

What you will do

  • Design and scale Retrieval-Augmented Generation pipelines that transform unstructured IT logs and documentation into optimized vector embeddings.
  • Build and maintain vector database infrastructure using technologies such as Pinecone, Milvus, or Weaviate, with a focus on fast retrieval.
  • Develop knowledge graphs and semantic layers that provide context for AI agents working with complex enterprise infrastructure.
  • Create automated data-quality guardrails to detect noise, bias, and personally identifiable information before data reaches AI models.
  • Identify and resolve issues in raw data sources while building, deploying, and maintaining CI/CD pipelines for data infrastructure.

Requirements

  • Expertise in data mining, data storage, and ETL processes.
  • Experience developing data pipelines and using tools such as Glue, Databricks, Synapse, or Dataproc.
  • Experience with relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB.
  • Strong problem-solving, analytical, critical-thinking, communication, and organizational skills.
  • Ability to translate business needs into technical requirements and collaborate with technical and non-technical colleagues.
  • Role location: Granada, Spain.

Nice to have

  • Experience as a Data Engineer or in cloud modernization.
  • Experience with data modelling and conceptual models.
  • Professional or cloud certifications in data engineering.
  • Knowledge of GitHub, Visual Studio, or similar development tools.
  • Degree in Computer Science, Software Engineering, Information Technology, or another scientific discipline.

Culture & Benefits

  • Inclusive environment focused on belonging, empathy, and shared success.
  • Hybrid-friendly culture supporting employee well-being and professional growth.
  • Financial, mental, physical, and social well-being programs.
  • Personalized development goals, continuous feedback, coaching, and hands-on learning.
  • Access to certification and learning opportunities from Microsoft, Google, and Amazon.

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