Fluent in English and French
(Resumes must be submitted in English.)

35 hours per week

100% Remote
Same time zone required

Until January 31, 2027

BRP is seeking a Data Engineer to help elevate its analytics practice to the next level. This role is ideal for a motivated professional who thrives in dynamic, fast-paced environments, enjoys working with cutting-edge tools, and is comfortable switching between multiple programming languages.

As a Data Engineer, you will play a central role in designing and implementing robust, scalable data solutions. You will help position data as a strategic asset for BRP by delivering world-class analytics platforms, enabling business intelligence, and supporting advanced analytics use cases.

• Master’s degree in Business Intelligence or equivalent

• Experience working in large enterprises (10,000+ employees)

• Strong, hands-on experience with the following technologies:

  • Snowflake

  • DBT

  • Microsoft SQL Server

  • Power BI

  • Git

• Proficiency in multiple programming languages, including:

  • SQL

  • Python

• Strong expertise in:

  • Data modeling and architecture

  • Design and development of robust ETL / ELT data pipelines

  • Writing, executing, and optimizing complex SQL queries

• Experience implementing REST API-based service architectures

• Ability to develop clean, maintainable code within a CI/CD environment

• Experience using cloud BI technologies (Azure or similar)

• Proven ability to translate business requirements into advanced data models supporting analysts and data scientists

• Experience in data profiling

• Experience working within Agile teams delivering big data and analytics solutions

• Knowledge of and compliance with industry standards and regulations such as GDPR and SOX

• Design, develop, and support robust ETL/ELT and data pipeline solutions

• Deliver scalable data architectures supporting analytics and BI use cases

• Enable real-time and batch data ingestion from multiple data sources

• Ensure high data quality, performance, and reliability

• Support analytics teams with optimized, business-ready data models

• Promote best practices in data engineering and analytics delivery

• Design, develop, implement, and support robust ETL/ELT and data pipeline solutions

• Coordinate with multiple development teams to meet delivery objectives

• Support requirements definition, estimation, development, and delivery of scalable solutions

• Develop and support real-time data ingestion processes from various sources

• Build and maintain data models optimized for business intelligence usage

• Develop integrations with external APIs (e.g., Google, Facebook, Salesforce, SAP)

• Ensure compliance with applicable standards and regulations (GDPR, SOX)

• Act as a leader in defining best practices and driving innovative, out-of-the-box solutions

• Experience in manufacturing, transportation, automotive, or aerospace industries

• Experience in international organizations operating across multiple continents

• Experience in multi-site enterprise environments

• Strong agility in dynamic, loosely structured environments with multiple third parties

• High adaptability to changing priorities and new contexts

• Strong autonomy and ability to operate with limited supervision

• Ability to identify key stakeholders and success levers independently

• Entrepreneurial mindset and ownership of assigned responsibilities

• Highly motivated by complex challenges

• Comfortable working with significant autonomy and flexibility