1 месяц назад
Analytics Engineer (AI)
2 400 - 4 100€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →