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12 дней назад

Data 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
Data Engineer (AI): Building and optimizing scalable data pipelines, transformation workflows, analytical data assets, and dashboards for enterprise decision-making with an accent on Palantir Foundry, cloud data platforms, Python/PySpark, and AI-assisted automation. Focus on designing reliable data models, improving data quality and governance, visualizing insights, and solving complex data issues at scale.

Location: Bratislava, Slovakia

Base salary: EUR 2,400–4,100 per month, plus performance-based variable compensation and benefits.

Company

hirify.global provides reinsurance, insurance, and insurance-based risk transfer solutions, helping organizations manage risks such as natural catastrophes, climate change, and cybercrime.

What you will do

  • Design, develop, and optimize scalable data pipelines and transformation workflows.
  • Build documented data models and analytical data assets for trusted business use.
  • Engineer cloud-based solutions using Palantir Foundry, Azure, or similar platforms.
  • Process and transform large datasets with Python and PySpark.
  • Build dashboards and analytical applications with Palantir Workshop, Power BI, or similar tools.
  • Collaborate with product owners, architects, analysts, and end users while improving data quality, governance, lineage, and platform scalability.

Requirements

  • Hands-on experience designing data pipelines, transformation models, and analytical data assets at scale.
  • Strong experience with Palantir Foundry, Azure, or another major cloud platform and data-oriented cloud services.
  • Strong Python and/or PySpark programming skills for large-scale data processing.
  • Experience translating complex data into dashboards, analytical applications, or self-service reporting.
  • Practical experience with AI coding assistants and AI-driven pipeline automation.
  • Analytical, collaborative, adaptable, and familiar with agile, product-oriented ways of working.

Nice to have

  • Experience with emerging data engineering, cloud, and AI technologies.
  • Experience contributing to sprint planning, backlog refinement, and iterative delivery.

Culture & Benefits

  • Inclusive and flexible environment supporting equal professional opportunities.
  • Global collaboration across more than 15,000 employees.
  • Performance-based variable compensation in addition to base salary.
  • Global and location-specific benefits, subject to company policies and the employment contract.
  • Support for professional development and employees returning after a career break.

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