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1 день назад

Mid Power BI Engineer (Azure)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR

Mid Power BI Engineer (Azure): Designing and delivering impactful analytics solutions across cloud data platforms with an accent on DAX optimization and semantic modeling. Focus on translating complex data into actionable insights for international clients and ensuring high-performance report scalability.

Location: Remote (Global)

Company

hirify.global specializes in advanced Big Data and cloud-native data platforms for international retail and Fortune 500 clients.

What you will do

  • Design, build, and maintain Power BI reports, dashboards, and semantic models for global clients.
  • Develop and optimize DAX measures and data models to ensure accuracy, performance, and scalability.
  • Collaborate with Data Engineers to integrate the BI layer with upstream cloud pipelines and data platforms.
  • Work with business stakeholders to gather requirements and translate KPIs into intuitive visualizations.
  • Maintain data quality, lineage, and documentation while contributing to BI standards and reusable libraries.
  • Participate in CI/CD practices and version control for Power BI assets via Azure DevOps and git.

Requirements

  • 3+ years of commercial experience in Power BI development.
  • Strong proficiency in DAX, including complex measures and evaluation context.
  • Solid understanding of data modeling concepts such as star schema and snowflake schema.
  • Experience connecting Power BI to Azure Synapse, SQL databases, Databricks, or data lakehouses.
  • Advanced SQL skills for querying and transforming data at the source level.
  • Ability to work independently and communicate effectively with international stakeholders.

Nice to have

  • Experience with Power BI Premium or Fabric.
  • Familiarity with the Azure data ecosystem (Azure Data Factory, ADLS).
  • Exposure to Python or PySpark for data preparation.
  • Knowledge of CI/CD tools like Tabular Editor or ALM Toolkit.
  • Basic understanding of Lakehouse architecture.

Culture & Benefits

  • Remote-first culture with workation opportunities from anywhere in the world.
  • Annual 2,000 PLN professional development budget and access to e-learning platforms.
  • Private medical care (Enel-Med) and MyBenefit/Multisport platforms.
  • Flexible working hours and a strong focus on work-life balance.
  • Flat organizational structure with a high rate of internal promotions to Lead positions.
  • Company-wide international trips and dedicated team integration budgets.

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