Data Engineer

Botpress; Montreal; On-site; CAD 80,000 - 100,000; Full time

Job summary

A fast-growing AI start-up is seeking a Data Engineer to design and build robust data systems, ensuring integration of diverse datasets while optimizing performance. The ideal candidate has strong skills in SQL and Python, with experience in data pipelines. This position offers 4 weeks of vacation, comprehensive health benefits, and a vibrant office culture in Montreal.

Benefits

4 weeks of vacation

Paid sick and parental leave

Comprehensive health, dental, vision, travel, and life insurance

Funding for education and skills improvement

Fully-stocked fridge and cupboard

A vibrant office community with weekly socials

Qualifications

• 2-3+ years of experience in data engineering or backend development with a strong data focus.
• Proficiency in SQL and experience with BigQuery or another cloud data warehouse.
• Strong coding skills in Python; familiarity with TypeScript and event-driven systems.

Responsibilities

• Design, implement, and maintain data pipelines from Segment to BigQuery.
• Build the transformation layer and data models that support analytics.
• Integrate data from product, CRM, and billing systems into unified datasets.

Skills

Data engineering

SQL

Python

BigQuery

ETL/ELT pipelines

TypeScript

Job description

Overview

We\'re hiring a Data Engineer to design and build the foundation of our company\'s data infrastructure. Today, our product and revenue data flows through Segment into BigQuery, but our models, pipelines, and orchestration are fragmented and underdeveloped. You\'ll be responsible for building a robust, scalable data system that connects how users behave in our product with how the business performs.

This is a hands-on engineering role focused on reliability, structure, and clarity. You\'ll define how data is ingested, transformed, and modeled; then make it accessible through clean, well-documented schemas. Working in Python and TypeScript, you\'ll collaborate with engineering, product, and revenue teams to establish a modern data stack that supports analytics, experimentation, and long-term growth.

Responsibilities

• Design, implement, and maintain data pipelines from Segment to BigQuery.
• Build the transformation layer and data models that support analytics and operational reporting.
• Establish and enforce best practices for schema design, event naming, and data versioning.
• Partner with engineering to ensure event tracking and integrations are implemented correctly.
• Integrate data from product, CRM, and billing systems into unified datasets.
• Develop monitoring, testing, and validation processes to ensure data reliability.
• Collaborate with analysts and business stakeholders to design scalable, self-serve data access patterns

Requirements

• 2-3+ years of experience in data engineering or backend development with a strong data focus.
• Proficiency in SQL and experience with BigQuery or another cloud data warehouse.
• Strong coding skills in Python; familiarity with TypeScript and event-driven systems.
• Hands-on experience building or maintaining ETL/ELT pipelines (Segment, dbt, or custom frameworks).
• Understanding of modern data modeling practices and warehouse performance optimization.
• Ability to design for maintainability, documentation, and long-term scalability.
• Bonus: experience introducing orchestration tools (Airflow, Dagster, etc.) or event analytics platforms (Mixpanel, Amplitude)

About Botpress

Botpress recently raised its $25 million Series B funding. As a fast-growing start-up, we run a lean and innovative ship that leans on AI for maximum business impact. At Botpress, everyone is an owner, bringing their unique perspective and talents.

Our teams are talented and passionate. We intentionally hire individuals who are eager, passionate, talented, and hungry to learn and grow throughout their career.

We operate fully in-office, with a culture that values both technical rigor and shared ambition.

You\'ll be on a team that\'s not just adapting to the AI revolution, but leading it. Joining our team means changing the future of enterprise AI and building technology that will define the next era of business automation.

Benefits

• Work at one of Canada\'s fastest-growing AI start-ups
• Work with a talented and passionate team
• 4 weeks of vacation
• Paid sick and parental leave
• Comprehensive health, dental, vision, travel, and life insurance
• Funding for education and skills improvement
• Fully-stocked fridge and cupboard - we take snacks seriously
• Your own desk - no ‘hot-desk\'-style sign-up systems
• A vibrant office community, including weekly socials