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5 дней назад

Data Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain/Bulgaria
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
Data Engineer (AI) (Python/SQL/RAG): Building and scaling a cloud-native data platform for insurance software with an accent on robust data pipelines, data governance, and AI knowledge-base systems. Focus on designing RAG architectures, integrating legacy and microservices-based systems, and enabling trustworthy semantic retrieval through embeddings, vector databases, and distributed processing.

Location: Hybrid in Madrid, Spain or Sofia, Bulgaria

Company

hirify.global develops cloud-native core software solutions for the insurance industry, with multinational teams across Europe.

What you will do

  • Design, build, and scale the data platform supporting AI and data strategy.
  • Curate, catalog, profile, validate, and govern data assets, including PII and sensitive data.
  • Integrate data solutions with microservices, APIs, messaging systems, and event-driven architectures.
  • Build reporting, data-sharing, ETL/ELT, aggregation, and analysis-ready data models and pipelines.
  • Design and maintain RAG pipelines, including ingestion, chunking, embeddings, indexing, and retrieval.
  • Collaborate with Data Architects, SMEs, Engineering, Architecture, Product, and Business teams.

Requirements

  • 5+ years of experience in data engineering or backend engineering with a data focus.
  • Strong Python programming skills and hands-on SQL and PL/SQL experience with Oracle.
  • Experience with data pipeline tools such as Airflow, Spark, Kafka, or Flink.
  • Experience with cloud data services on AWS, Azure, or GCP.
  • Knowledge of ETL/ELT, data integration, distributed systems, and event-driven architectures.
  • Understanding of RAG, embeddings, vector stores, retrieval concepts, version control, testing, and CI/CD.

Nice to have

  • Experience with governed data environments, data catalogs, lineage, metadata management, or data governance.
  • Knowledge of data lakes, data warehouses, dimensional modeling, and data science fundamentals.
  • Exposure to enterprise systems, insurance, or financial services.

Culture & Benefits

  • Work in a fast-growing insurance software vendor with teams across Europe and more than 15 nationalities.
  • Competitive remuneration and opportunities for personal and professional growth.
  • Culture focused on wellbeing, collaboration, and focused work without meetings during designated focus time.
  • Half-day off on the second Friday of each month for personal projects or time off.

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