Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль предполагает серьёзную ответственность за data engineering, облачную инфраструктуру, MLOps и LLM-продукты в крупной страховой группе, но очень широкий охват задач и отсутствие данных о зарплате мешают оценить предложение целиком.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (AI): Building scalable data pipelines, cloud-native microservices, and AI products for insurance Claims, Pricing, and Underwriting with an accent on Databricks, AWS or Azure, MLOps, CI/CD, and LLM-based solutions. Focus on designing production-grade data platforms, implementing RAG and agentic workflows, and ensuring data quality, observability, and model lifecycle management.
Location: Barcelona, Spain; hybrid working
Company
Zurich Technology Delivery Center is hirify.global’s technology hub, providing software development, data analytics, cybersecurity, and IT infrastructure solutions for local and global business units.
What you will do
Design and build scalable, secure, and observable end-to-end data and AI solutions.
Implement high-performance batch and real-time ETL/ELT using AWS or Azure, Spark, and Databricks.
Build CI/CD pipelines and automated testing, deployment, and monitoring for data platforms and ML products.
Develop cloud-native microservices and APIs in secure and resilient cloud environments.
Define MLOps strategies covering versioning, feature stores, monitoring, drift detection, and model lifecycle management.
Build LLM-powered products using prompt engineering, fine-tuning, retrieval-augmented generation, and agentic workflows.
Requirements
5–10 years of advanced Python experience building production-grade data and backend solutions.
5 years of cloud engineering experience with AWS or Azure, preferably in data-intensive environments.
5–10 years of experience with Databricks and 5 years designing multi-cloud CI/CD pipelines and automated deployments.
5 years designing, implementing, and operating distributed services and APIs, including 2 years building backend services.
2 years integrating OpenAI, Anthropic, AI agents, or MCP-based services into real applications.
Experience with Docker, Kubernetes or similar technologies, Git or similar tools, Spark, and Azure DevOps or Jenkins.
Nice to have
Experience in insurance, financial services, or another highly regulated industry.
Exposure to Claims, Pricing, or Underwriting domains and related data.
Culture & Benefits
Flexible hybrid working model with the option to work abroad for up to 25 days per year.
Over €300 for home-office setup plus a monthly home-office allowance.
Internal and external training, including English, German, and Spanish classes according to business needs.
Restaurant vouchers, health insurance, life and accident insurance, and a collective retirement plan.
Employee discounts, special banking and insurance conditions, functional diversity benefits, stock options, and mortgage benefits.
€2,000 referral bonus for successful employee referrals.
Hiring process
Submit a CV in English.
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