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6 дней назад

Business Intelligence (BI) Engineer (Microsoft Fabric)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
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
Business Intelligence (BI) Engineer (Microsoft Fabric): Designing and improving enterprise reporting, analytics solutions, semantic models, and KPIs with an accent on Microsoft Fabric, Power BI, dimensional modeling, and stakeholder-driven insights. Focus on building analytics data products, optimizing cloud-based reporting, and exploring interactive and AI-enabled analytics applications.

Location: On-site in Kraków, Poland

Company

hirify.global is a global science and technology company operating across life sciences, diagnostics, and biotechnology.

What you will do

  • Design, develop, and maintain reporting and analytics solutions with Microsoft Fabric, Power BI, and modern cloud analytics platforms.
  • Build and optimize semantic models, measures, and KPIs for business and operational decision-making.
  • Translate complex business requirements into dashboards, reports, and actionable insights with business stakeholders.
  • Collaborate with data engineering teams to define semantic models and analytics data products.
  • Explore interactive analytics applications using Streamlit, Fabric, and emerging AI-enabled reporting capabilities.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent experience.
  • At least 5 years of experience developing enterprise reporting, business intelligence, or analytics solutions.
  • Advanced experience with Microsoft Fabric, Power BI, semantic models, DAX, Power Query, Row-Level Security, and Fabric analytics capabilities.
  • Strong understanding of dimensional modeling, star schemas, and analytics data modeling principles.
  • Experience gathering requirements and partnering directly with business stakeholders to define KPIs and reporting solutions.
  • Proficiency in SQL and experience analyzing data from modern cloud-based data platforms.

Nice to have

  • Experience with Snowflake and modern cloud data warehouse platforms.
  • Experience with Streamlit or similar tools for interactive analytics applications.
  • Experience with Python, PySpark, Fabric Notebooks, and ETL/ELT pipelines.

Culture & Benefits

  • Work within the Enterprise Data Platform organization.
  • Join a culture focused on continuous improvement and innovation.
  • Develop professionally within a global science and technology company.
  • Contribute to analytics capabilities supporting life sciences, diagnostics, and biotechnology businesses.

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