Data Engineer

Job Overview

Botpress Technologies Inc. is seeking a Data Engineer to design and build the foundation of our data infrastructure. You will create robust, scalable systems that integrate user behavior with business performance data.

Key Responsibilities

• Design, implement, and maintain data pipelines from Segment to BigQuery.
• Build transformation layers and data models for analytics and reporting.
• Establish best practices for schema design, event naming, and data versioning.
• Collaborate with engineering to ensure accurate event tracking and integrations.
• Integrate data from product, CRM, and billing systems into unified datasets.
• Develop monitoring, testing, and validation processes for data reliability.
• Work with analysts and business stakeholders to design scalable, self-serve data access.

Qualifications

• 2-3+ years in data engineering or backend development with a data focus.
• Proficiency in SQL and experience with BigQuery or a similar cloud data warehouse.
• Strong coding skills in Python; familiarity with TypeScript and event-driven systems.
• Experience building or maintaining ETL/ELT pipelines (e.g., Segment, dbt).
• Knowledge of modern data modeling practices and performance optimization.
• Bonus: Experience with orchestration tools such as Airflow or Dagster, or event analytics platforms like Mixpanel or Amplitude.

About Botpress

Botpress recently raised $25 million in Series B funding. As one of Canada’s fastest-growing AI start-ups, we champion innovation and a collaborative culture. Our in-office environment values technical rigor and shared ambition, and we provide a comprehensive benefits package including vacation, health insurance, and more.

Key skills/competency

• Data Pipelines
• Cloud Data Warehousing
• ETL/ELT
• Python
• TypeScript
• Data Modeling
• SQL
• Event Tracking
• Infrastructure Design
• Scalability