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8 дней назад

Data Engineer for AI

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Ireland/Portugal
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 for AI (AI/Data Engineering): Building reliable, governed data foundations, pipelines, and reusable data products for AI experimentation, model training, and enterprise-scale adoption with an accent on Azure data services, Databricks, Synapse, SQL, and Python. Focus on preparing training datasets, supporting feature engineering and MLOps, and designing scalable data architecture and governance controls.

Location: Dublin, Ireland

Company

hirify.global is creating an AI R&D capability within IT Corporate Functions to develop and industrialise AI-driven solutions across the group.

What you will do

  • Design and develop data pipelines supporting AI initiatives.
  • Prepare, cleanse, transform, and enrich datasets for AI experimentation and model training.
  • Build reusable data products and contribute to scalable AI data architecture patterns.
  • Implement data governance, security, quality, and monitoring controls.
  • Partner with data owners and business stakeholders across hirify.global.
  • Collaborate with the Porto AI team on common data standards, engineering practices, MLOps, and AI operationalisation.

Requirements

  • Strong experience with Azure Data Services, Microsoft Fabric, Databricks, Synapse, or equivalent technologies.
  • Advanced SQL and Python skills.
  • Experience building modern data pipelines and data platforms.
  • Understanding of AI and machine learning lifecycle requirements.
  • Experience with cloud-based data architecture.
  • Strong analytical and problem-solving skills.

Culture & Benefits

  • Work within a new AI R&D team based in Dublin.
  • Collaborate closely with the AI team based in Porto.
  • Contribute to AI strategy, technology roadmaps, reusable capabilities, and enterprise architecture standards.
  • Fixed-term employee position.

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