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1 день назад

Data Engineer / Senior Data Engineer (Azure, Databricks, Microsoft Fabric)

Формат работы
remote (только Europe)/hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Serbia/Poland/Romania +3 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Data Engineer / Senior Data Engineer (Azure, Databricks, Microsoft Fabric): Building a modern enterprise data and analytics platform on Microsoft Azure, including ingestion pipelines, governed data products, and analytical datasets, with an accent on Azure Databricks, Microsoft Fabric, lakehouse architecture, and AI-assisted engineering. Focus on designing scalable data solutions, migrating reporting workloads from SQL Server, establishing engineering standards, and translating business requirements into governed technical implementations.

Location: Bulgaria, Cyprus, Latvia, Poland, Romania, or Serbia. Remote, hybrid, and onsite work formats are available.

Company

hirify.global is a software engineering company delivering data, analytics, and AI solutions for clients across multiple industries.

What you will do

  • Design and develop data ingestion pipelines from business systems into a governed cloud data platform.
  • Build scalable data engineering solutions with Azure Databricks, Microsoft Fabric, Azure Data Factory, and Azure Data Lake Storage Gen2.
  • Implement medallion architecture patterns, reusable engineering frameworks, curated data products, and analytical datasets.
  • Support the migration of reporting and analytics workloads from legacy SQL Server environments.
  • Apply AI-assisted development practices while maintaining quality, governance, and auditability.
  • Provide platform design guidance, establish engineering standards, review code, and collaborate with technical and business stakeholders.

Requirements

  • 6+ years of experience in data engineering.
  • Hands-on experience with Azure Data Factory, Azure Databricks, and Azure Data Lake Storage Gen2.
  • Strong programming skills in Python, SQL, and PySpark.
  • Experience with Delta Lake, production lakehouse or medallion architectures, and SQL Server environments.
  • Experience with Git, Azure DevOps, and CI/CD pipelines for data solutions.
  • Ability to communicate effectively in English with technical and business stakeholders. Experience with architecture decisions, code reviews, engineering standards, requirements gathering, and stakeholder collaboration is required.

Nice to have

  • Production experience with Microsoft Fabric.
  • Microsoft or Databricks data engineering certifications.
  • Experience with dimensional modelling, semantic modelling, Power BI, Microsoft Purview, data lineage, or metadata management.
  • Experience in regulated financial services environments.

Culture & Benefits

  • Flexible choice of remote, hybrid, or office work formats.
  • Vacation, sick pay, health insurance, and time off for official state holidays according to the applicable country.
  • Coverage of IT certification costs and access to courses, learning platforms, mentoring, and professional development programs.
  • Technical and everyday workplace support, corporate events, and mental health programs.
  • Corporate laptop or BYOD options, parental leave, referral bonuses, and flexible return-to-work arrangements.

Hiring process

  • CV review followed by an HR interview.
  • Communication and technical assessments covering English and relevant technologies.
  • Project team discussion and, where applicable, preparation for a client interview.

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