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4 дня назад

Data & AI Senior Engineer (Microsoft Azure)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data & AI Senior Engineer (Microsoft Azure/Databricks): Defining and implementing enterprise standards, architectures, and operating models for scalable Data & AI platforms with an accent on Azure, Databricks, Microsoft Fabric, governance, and platform operations. Focus on modernizing legacy solutions, building governed data pipelines and products, optimizing cloud costs through FinOps, and enabling engineering teams through technical mentorship.

Location: Hybrid work at VNG - Lake Towers, Fundão, Lisbon - Expo, and VNG - Cais Gaia, Portugal

Company

hirify.global Engineering provides engineering, research and development, digital, and software technology services to organizations across multiple industries.

What you will do

  • Define, implement, and maintain engineering standards, frameworks, and best practices across Data & AI platforms.
  • Guide engineering teams in designing, developing, and operating scalable, production-ready data solutions.
  • Establish standards for data pipelines, data products, semantic models, access management, lineage, workspaces, monitoring, and observability.
  • Drive adoption of Azure, Azure Databricks, Microsoft Fabric, and related Data & AI platform capabilities.
  • Promote CI/CD, Infrastructure as Code, environment management, DataOps, FinOps, and operational excellence.
  • Support cloud migration and modernization initiatives while contributing to platform strategy and mentoring engineering teams.

Requirements

  • 10+ years of experience in Data Engineering, Cloud Engineering, or Data & AI Platforms.
  • Experience designing and implementing enterprise-scale data platforms, architectures, scalable data pipelines, and data products.
  • Hands-on experience with Microsoft Azure, Azure Databricks, Microsoft Fabric, Microsoft Purview, Unity Catalog, and Power BI.
  • Strong knowledge of data lakes, lakehouses, analytics architectures, governance, metadata, lineage, data quality, and access control.
  • Experience with DevOps and DataOps, including CI/CD, GitHub Actions, Terraform, and lifecycle management across development, pre-production, and production.
  • Strong stakeholder management, communication, collaboration, and technical leadership skills.

Nice to have

  • Microsoft Azure, Microsoft Fabric, Databricks, or related certifications.

Culture & Benefits

  • Multicultural and inclusive work environment with a supportive atmosphere.
  • Hybrid work and support for work-life balance.
  • Career growth programs, training, and certifications in emerging technologies.
  • National and international projects.
  • Health and life insurance.
  • Referral program with bonuses and access to office locations.

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