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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