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Data Engineer (AI/LLM)

Формат работы
hybrid
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/LLM) (Python/AWS/Spark): Architecting scalable data processing, cloud ETL, microservices, and MLOps pipelines with an accent on data quality, CI/CD, and secure cloud deployments. Focus on integrating LLMs and AI agents, fine-tuning models, and building distributed backend solutions across cloud environments.

Location: Hybrid role based in Barcelona, Poblenou, Spain

Company

Zurich Technology Delivery Center provides software development, data analytics, cybersecurity, and IT infrastructure solutions for hirify.global’s local and global business units.

What you will do

  • Architect and develop scalable, secure, end-to-end data processes.
  • Build batch and real-time ETL pipelines in AWS and other cloud environments using Spark or Databricks.
  • Implement MLOps, CI/CD, industrialization, and operational strategies for machine learning models.
  • Develop and deploy cloud-based microservices using Docker, Kubernetes, or similar technologies.
  • Align business needs with technical requirements and solution architecture.
  • Develop AI products based on LLMs and fine-tuning techniques.

Requirements

  • Advanced Python skills and 5 years of Python experience.
  • 4 years of cloud engineering experience with AWS, GCP, or Azure.
  • 3 years of experience building multi-cloud CI/CD pipelines and automated deployments.
  • Experience with AWS, Docker, Kubernetes, Git, Spark, Azure DevOps, or Jenkins.
  • 2 years of experience designing and deploying distributed microservices and building backend APIs.
  • 2 years of experience integrating OpenAI, Anthropic, AI agents, LLMs, and MCP servers.

Culture & Benefits

  • Flexible working model supporting work-life balance.
  • Option to work abroad for up to 25 days per year.
  • Home office setup support of over €300 plus a monthly home office allowance.
  • Competitive salary, yearly bonus, health insurance, life and accident insurance, and retirement plan.
  • Internal and external training opportunities, including English, German, and Spanish classes.
  • Restaurant tickets, employee discounts, referral bonus, stock options, and mortgage benefits.

Hiring process

  • Submit a CV in English.

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