Назад
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7 часов назад

Business Intelligence Engineer

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Business Intelligence Engineer (Data Analytics): Build end-to-end data pipelines and interactive dashboards with an accent on data quality, automation, and business impact. Focus on designing scalable data solutions, collaborating cross-functionally, and leveraging AI-assisted development tools.

Location: Hybrid with Toronto office presence every Thursday

Company

hirify.global develops AI/ML-based data operating platforms to transform enterprise data into actionable insights for multinational companies.

What you will do

  • Design and implement robust data solutions enabling analytics and insights
  • Develop and maintain production-quality SQL and Python code for data transformation and automation
  • Ensure data quality, accuracy, and reliability in core datasets
  • Collaborate with stakeholders to translate business requirements into scalable technical solutions
  • Continuously learn and adapt to emerging data engineering technologies and AI tools

Requirements

  • Hybrid work with mandatory presence in Toronto office every Thursday
  • Proven experience building end-to-end data pipelines using Python and orchestration frameworks
  • Experience designing business dashboards, ideally with Looker
  • Comfortable with cloud platforms, preferably GCP
  • English proficiency at least B2 level

Nice to have

  • Experience with AI-assisted development tools like Claude and GitHub Copilot
  • Track record of success in small, collaborative teams

Culture & Benefits

  • Global mission with a passionate, talented community
  • Competitive cash compensation package
  • Flexible hybrid work schedule
  • Generous time-off policy including 30 business days annual leave plus sick days and public holidays
  • Engineering-driven culture focused on technical excellence and innovation

Hiring process

  • Initial assessment of salary, location, skills, and values alignment
  • Technical and behavioral deep-dive interviews
  • Practical work task simulation with team discussion
  • Final meetings with senior leaders
  • Use of AI tools during interviews is strictly prohibited and leads to disqualification

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