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Data Engineer
JOB SUMMARY
Roles
Job details
Required LanguageFluent in English and French(Resumes must be submitted in English. )Hours per Week35 hours per weekPosition Type: Remote / On-site [
Location
]100% RemoteSame time zone requiredAssignment DurationUntil January 31, 2027About the RoleBRP 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 SkillsMaster’s degree in Business Intelligence or equivalentExperience working in large enterprises (10,000+ employees)Strong, hands-on experience with the following technologies:SnowflakeDBTMicrosoft SQL ServerPower BIGitProficiency in multiple programming languages, including :SQLPythonStrong expertise in:Data modeling and architectureDesign and development of robust ETL / ELT data pipelinesWriting, executing, and optimizing complex SQL queriesExperience implementing REST API-based service architecturesAbility to develop clean, maintainable code within a CI/CD environmentExperience using cloud BI technologies (Azure or similar)Proven ability to translate business
requirements
into advanced data models supporting analysts and data scientistsExperience in data profilingExperience working within Agile teams delivering big data and analytics solutionsKnowledge of and compliance with industry standards and regulations such as GDPR and SOXObjectives and DeliverablesDesign, develop, and support robust ETL/ELT and data pipeline solutionsDeliver scalable data architectures supporting analytics and BI use casesEnable real-time and batch data ingestion from multiple data sourcesEnsure high data quality, performance, and reliabilitySupport analytics teams with optimized, business-ready data modelsPromote best practices in data engineering and analytics deliveryKey ResponsibilitiesDesign, develop, implement, and support robust ETL/ELT and data pipeline solutionsCoordinate with multiple development teams to meet delivery objectivesSupport
requirements
definition, estimation, development, and delivery of scalable solutionsDevelop and support real-time data ingestion processes from various sourcesBuild and maintain data models optimized for business intelligence usageDevelop 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 solutionsAssetsExperience in manufacturing, transportation, automotive, or aerospace industriesExperience in international organizations operating across multiple continentsExperience in multi-site enterprise environmentsProfessional Skills (Know-How)Strong agility in dynamic, loosely structured environments with multiple third partiesHigh adaptability to changing priorities and new contextsStrong autonomy and ability to operate with limited supervisionAbility to identify key stakeholders and success levers independentlyPersonal Attributes (Soft Skills)Entrepreneurial mindset and ownership of assigned responsibilitiesHighly motivated by complex challengesComfortable working with significant autonomy and flexibilityEn 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.
Location
]100% RemoteSame time zone requiredAssignment DurationUntil January 31, 2027About the RoleBRP 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 SkillsMaster’s degree in Business Intelligence or equivalentExperience working in large enterprises (10,000+ employees)Strong, hands-on experience with the following technologies:SnowflakeDBTMicrosoft SQL ServerPower BIGitProficiency in multiple programming languages, including :SQLPythonStrong expertise in:Data modeling and architectureDesign and development of robust ETL / ELT data pipelinesWriting, executing, and optimizing complex SQL queriesExperience implementing REST API-based service architecturesAbility to develop clean, maintainable code within a CI/CD environmentExperience using cloud BI technologies (Azure or similar)Proven ability to translate business
requirements
into advanced data models supporting analysts and data scientistsExperience in data profilingExperience working within Agile teams delivering big data and analytics solutionsKnowledge of and compliance with industry standards and regulations such as GDPR and SOXObjectives and DeliverablesDesign, develop, and support robust ETL/ELT and data pipeline solutionsDeliver scalable data architectures supporting analytics and BI use casesEnable real-time and batch data ingestion from multiple data sourcesEnsure high data quality, performance, and reliabilitySupport analytics teams with optimized, business-ready data modelsPromote best practices in data engineering and analytics deliveryKey ResponsibilitiesDesign, develop, implement, and support robust ETL/ELT and data pipeline solutionsCoordinate with multiple development teams to meet delivery objectivesSupport
requirements
definition, estimation, development, and delivery of scalable solutionsDevelop and support real-time data ingestion processes from various sourcesBuild and maintain data models optimized for business intelligence usageDevelop 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 solutionsAssetsExperience in manufacturing, transportation, automotive, or aerospace industriesExperience in international organizations operating across multiple continentsExperience in multi-site enterprise environmentsProfessional Skills (Know-How)Strong agility in dynamic, loosely structured environments with multiple third partiesHigh adaptability to changing priorities and new contextsStrong autonomy and ability to operate with limited supervisionAbility to identify key stakeholders and success levers independentlyPersonal Attributes (Soft Skills)Entrepreneurial mindset and ownership of assigned responsibilitiesHighly motivated by complex challengesComfortable working with significant autonomy and flexibilityEn 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.
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