Data Engineer at Xideral

Montreal, Quebec, Canada -

Full Time

Start Date

Immediate

Expiry Date

30 Apr, 26

Salary

0.0

Posted On

30 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL, ELT, Data Pipeline, SQL, Python, Data Modeling, Architecture, Business Intelligence, Cloud BI, REST API, Agile, Data Profiling, GDPR, SOX, CI/CD

Industry

IT Services and IT Consulting

Description

Required Language Fluent in English and French (Resumes must be submitted in English.) Hours per Week 35 hours per week Position Type: Remote / On-site [Location] 100% Remote Same time zone required Assignment Duration Until January 31, 2027 About the Role 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. Required Qualifications and Technical Skills 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 Objectives and Deliverables 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 Key Responsibilities 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 Assets Experience in manufacturing, transportation, automotive, or aerospace industries Experience in international organizations operating across multiple continents Experience in multi-site enterprise environments Professional Skills (Know-How) 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 Personal Attributes (Soft Skills) Entrepreneurial mindset and ownership of assigned responsibilities Highly motivated by complex challenges Comfortable working with significant autonomy and flexibility En soumettant votre candidature, vous consentez à ce que Xideral recueille, utilise et conserve vos renseignements personnels uniquement à des fins de recrutement et de sélection pour ce poste ou pour des opportunités similaires en lien avec vos domaines d’expertise. Vos informations seront traitées de manière confidentielle et conformément à la Loi 25 sur la protection des renseignements personnels du Québec. Vous pouvez en tout temps demander l’accès, la rectification ou la suppression de vos données en nous contactant à l’adresse suivante : contact@xideral.ca.

Responsibilities

The Data Engineer will design, develop, and support robust ETL/ELT and data pipeline solutions while coordinating with multiple development teams to meet delivery objectives. They will also ensure high data quality, performance, and reliability to support analytics teams.