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1 день назад

Data Engineer (Azure)

2 800 - 4 550
Формат работы
remote (только Europe)/hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
b1
Страна
France/UK/Norway +27 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 (Azure): Building a scalable enterprise data and analytics platform with an accent on Azure Databricks, Azure Data Factory, Microsoft Fabric, data pipelines, and governed analytical datasets. Focus on designing medallion architecture, implementing data quality and reconciliation, modernizing reporting, and supporting secure regulatory and operational analytics.

Location: Remote, hybrid, or office-based within Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Italy, Kosovo, Latvia, Lithuania, Luxembourg, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, the Netherlands, or the United Kingdom.

Salary: €2,800–€4,550 gross per month, depending on experience, location, and professional growth.

Company

hirify.global is a software engineering and consulting company delivering technology projects for financial services, healthcare, retail, telecom, and other industries.

What you will do

  • Design and build scalable data solutions for an enterprise data and analytics platform.
  • Develop ingestion and ETL/ELT pipelines across Sapiens, IRIS, and other enterprise sources using Azure Data Factory, Databricks, Microsoft Fabric, and Azure Data Lake.
  • Implement medallion architecture, reusable engineering patterns, curated datasets, and analytical data products.
  • Build data transformation, cleansing, validation, reconciliation, migration, and automated data quality processes.
  • Support regulatory and operational reporting with accurate, traceable, secure, and performant data.
  • Implement monitoring, logging, CI/CD, governance, lineage, metadata, security, and engineering automation while contributing to technical design, code reviews, troubleshooting, and production support.

Requirements

  • 5+ years of commercial experience in Data Engineering.
  • Strong experience designing enterprise-scale data pipelines, data platforms, ETL/ELT frameworks, and cloud data solutions.
  • Advanced hands-on experience with Azure Databricks and Apache Spark, plus strong experience with Azure Data Factory, Microsoft Fabric, Azure Data Lake, and SQL.
  • Knowledge of medallion architecture, Data Vault, Kimball dimensional modeling, data quality, monitoring, governance, metadata, lineage, security, and access control.
  • Experience with CI/CD, DevOps practices, Agile delivery, and collaboration with analysts, architects, and other technical stakeholders.
  • English at Intermediate+ level or above is required.

Nice to have

  • Microsoft DP-700, Fabric Data Engineering, or Databricks Data Engineer Associate certification.
  • Experience with Fabric Data Factory, Lakehouse, Sapiens, legacy reporting migration, regulatory reporting, or regulated industries.
  • Experience with Data Mesh, event-driven integration, infrastructure as code, Power BI, AI-assisted engineering, or agentic AI solutions.

Culture & Benefits

  • Remote, office, and hybrid work options are available within the listed European locations.
  • Professional, financial, and career growth supported by mentoring, onboarding, and a corporate training portal.
  • Up to €1,000 additional monthly earnings through participation in company activities, included in the annual bonus.
  • Certification compensation, referral program, private health insurance, and sports compensation depending on employment type.
  • Corporate social activities and practical office benefits such as events, snacks, and recreation.

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