Data Engineer

Intelex Technologies ULC is a global leader in the development of software solutions for Environment, Health, Safety and Quality programs. The Data Engineer role focuses on transforming data into actionable insights to support revenue growth and operational efficiency, while collaborating closely with business teams and senior leadership.

Responsibilities:

• Identify and contribute to the development of scalable data tools that improve how data is transformed, managed, and accessed—reducing time to insight
• Build predictive and forecasting models to support revenue growth, marketing effectiveness, and improved customer experiences
• Lead analytics and modeling projects that translate organizational data into clear, data-driven recommendations
• Design and maintain interactive dashboards and reports aligned to key performance indicators (KPIs)
• Implement modern tools and techniques to analyze, visualize, and communicate data trends effectively
• Partner with business teams to support operational improvements and growth initiatives, defining measurable outcomes
• Prepare both executive-level summaries and detailed analytical reports, including clear written insights and visual storytelling
• Present findings and recommendations to senior leadership, including options and trade-offs
• Collaborate closely with Finance and executive stakeholders to support recurring business review and planning cycles
• Contribute to additional analytics initiatives as business needs evolve

Requirements:

• 4–5 years of experience using SQL for data extraction and transformation, and Python for advanced analytics, automation, or modeling
• Hands-on experience with forecasting and predictive modeling to support strategic decision-making
• Experience working with modern data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery
• Strong understanding of data modeling concepts, including star and snowflake schemas, and normalized vs. denormalized designs
• Advanced proficiency with BI and visualization tools such as Power BI or Tableau, including best practices for data storytelling
• Proven ability to lead analytics projects end-to-end—from business requirements through analysis, insights, and executive recommendations
• Experience delivering measurable business impact through analytics, reporting, revenue operations, or related roles
• Excellent communication skills, with the ability to translate complex analyses into clear, actionable insights for senior stakeholders
• Experience working with CRM platforms such as Salesforce
• Familiarity with automated data pipelines or reporting automation
• Experience supporting executive or board-level reporting