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1 месяц назад

Analytics Engineer (AI)

2 400 - 4 100€
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Slovakia
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
Analytics Engineer (AI) (Python, SQL, Spark, Kubernetes): Building scalable data engineering and analytics solutions for document analytics, information retrieval, and enterprise knowledge platforms with an accent on cloud-native architecture, data-intensive applications, and platform reliability. Focus on developing end-to-end services, applying CI/CD and Agile practices, and integrating AI, LLM, and RAG capabilities.

Location: Bratislava, Slovakia

Salary: EUR 2,400–4,100 per month for a full-time role, plus performance-based variable compensation and location-specific benefits.

Company

hirify.global provides reinsurance, insurance, and insurance-based risk-transfer solutions, using data and technology to manage global risks.

What you will do

  • Design, develop, and maintain scalable data engineering and analytics solutions.
  • Build end-to-end applications and services for document analytics and information retrieval.
  • Develop cloud-native solutions with a focus on performance, reliability, and modern engineering practices.
  • Contribute to solution architecture and continuous platform improvement.
  • Translate business requirements into technical solutions with business stakeholders and cross-functional teams.
  • Apply Agile, DevOps, and CI/CD practices throughout the software development lifecycle.

Requirements

  • Hands-on software development experience with strong Python skills.
  • Experience designing and building scalable, data-intensive applications.
  • Production experience with SQL, Apache Spark, Kubernetes, and CI/CD pipelines.
  • Experience working in Agile development teams and contributing to iterative delivery.

Nice to have

  • Experience with Palantir Foundry and its data integration and transformation capabilities.
  • Exposure to Large Language Models, AI engineering, or Retrieval-Augmented Generation.
  • Experience with Microsoft Azure, AWS, or an equivalent cloud platform.
  • Java development experience.

Culture & Benefits

  • Work in Group Data Services on data and AI solutions for information retrieval, document analytics, and enterprise knowledge platforms.
  • Collaborate in an Agile environment focused on engineering excellence and continuous learning.
  • Receive performance-based variable compensation in addition to the base salary.
  • Access global and location-specific benefits.
  • Join an inclusive and flexible workplace with equal opportunities for professional development.

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