19 Data Engineer jobs in Montréal

We are looking for a talented Data Engineer to join our team. You will play a crucial role in developing and implementing data entities for analytical projects, while also contributing to the continuous improvement of existing pipelines and platforms. This position offers a unique opportunity to work at the intersection of data engineering and machine learning, helping to shape the way we deliver scalable and efficient AI-driven solutions at BRP.

YOU'LL HAVE THE OPPORTUNITY TO:

• Develop and deploy data entities for advanced analytics/machine learning projects using BRP’s framework and tools.

• Translate business and technical requirements into efficient data models.

• Develop processes and tools to monitor and analyze data quality.

• Collaborate with data scientists and engineers to optimize existing data preprocessing/reporting pipelines.

• Contributes to the maintenance and improvement of BRP’s data platforms.

YOU’LL THRIVE IN THIS ROLE IF YOU HAVE THE FOLLOWING SKILLS AND QUALITIES:

• 3+ years of experience working as a Data Engineer with a focus on advanced analytics/machine learning projects.

• Bachelor’s degree in computer science or related field.

• Proficiency in SQL and Python for data processing and automation.

• Ability to write clean, efficient, and maintainable code.

• Familiarity with DevOps/MLOps concepts, including CI/CD, and monitoring.

• Basic knowledge of classic machine learning algorithms and model evaluation techniques.

• Ability to work independently and take ownership of tasks.

• Excellent verbal and written communication skills.

• Fluency in English and French in order to communicate with internal and external stakeholders outside Quebec, or unilingual English speaker on a daily basis.

ACKNOWLEDGING THE POWER OF DIVERSITY

BRP is dedicated to nurturing a culture that invites, connects, and propels the ambitions of people of all backgrounds, profiles, beliefs and experiences. Ultimately, the diversity and uniqueness of our people fuel our ingenuity and set the course for the path ahead!

For this reason, we value diversity and we strive to always push each other forward to build an inclusive workplace where every employee feels like they belong, where they can grow and find meaning.

AT BRP, WHEN WE TALK ABOUT BENEFITS, WE GO ALL IN.

Let’s start with a strong foundation - You want it, we have it:

• Annual bonus based on the company’s financial results

• Generous paid time away

• Pension plan

• Collective saving opportunities

• Industry leading healthcare fully paid by BRP

What about some feel good perks:

• Flexible work schedule

• A summer schedule that varies by department and location

• Holiday season shutdown

• Educational resources

• Discount on BRP products

WELCOME TO BRP

We’re a world leader in recreational vehicles and boats, creating innovative ways to move on snow, water, asphalt, dirt and even in the air. Headquartered in the Canadian town of Valcourt, Quebec, our company is rooted in a spirit of ingenuity and intense customer focus. Today, we operate manufacturing facilities in Canada, the United States, Mexico, Finland, Australia and Austria, with a workforce made up of close to 16,500 spirited people, all driven by the deeply held belief that at work, as with life itself, it’s not about the destination: It’s about the journey.

#LI-Hybrid

We are looking for a talented Data Engineer to join our team. You will play a crucial role in developing and implementing data entities for analytical projects, while also contributing to the continuous improvement of existing pipelines and platforms. This position offers a unique opportunity to work at the intersection of data engineering and machine learning, helping to shape the way we deliver scalable and efficient AI-driven solutions at BRP.
YOU'LL HAVE THE OPPORTUNITY TO:
Develop and deploy data entities for advanced analytics/machine learning projects using BRP’s framework and tools.

Translate business and technical requirements into efficient data models.

Develop processes and tools to monitor and analyze data quality.

Collaborate with data scientists and engineers to optimize existing data preprocessing/reporting pipelines.

Contributes to the maintenance and improvement of BRP’s data platforms.

YOU’LL THRIVE IN THIS ROLE IF YOU HAVE THE FOLLOWING SKILLS AND QUALITIES:
3+ years of experience working as a Data Engineer with a focus on advanced analytics/machine learning projects.

Bachelor’s degree in computer science or related field.

Proficiency in SQL and Python for data processing and automation.

Ability to write clean, efficient, and maintainable code.

Familiarity with DevOps/MLOps concepts, including CI/CD, and monitoring.

Basic knowledge of classic machine learning algorithms and model evaluation techniques.

Ability to work independently and take ownership of tasks.

Excellent verbal and written communication skills.

Fluency in English and French in order to communicate with internal and external stakeholders outside Quebec, or unilingual English speaker on a daily basis.

ACKNOWLEDGING THE POWER OF DIVERSITY
BRP is dedicated to nurturing a culture that invites, connects, and propels the ambitions of people of all backgrounds, profiles, beliefs and experiences. Ultimately, the diversity and uniqueness of our people fuel our ingenuity and set the course for the path ahead!
For this reason, we value diversity and we strive to always push each other forward to build an inclusive workplace where every employee feels like they belong, where they can grow and find meaning.

AT BRP, WHEN WE TALK ABOUT BENEFITS, WE GO ALL IN.
Let’s start with a strong foundation - You want it, we have it:
Annual bonus based on the company’s financial results

Generous paid time away

Pension plan

Collective saving opportunities

Industry leading healthcare fully paid by BRP

What about some feel good perks:
Flexible work schedule

A summer schedule that varies by department and location

Holiday season shutdown

Educational resources

Discount on BRP products

WELCOME TO BRP
We’re a world leader in recreational vehicles and boats, creating innovative ways to move on snow, water, asphalt, dirt and even in the air. Headquartered in the Canadian town of Valcourt, Quebec, our company is rooted in a spirit of ingenuity and intense customer focus. Today, we operate manufacturing facilities in Canada, the United States, Mexico, Finland, Australia and Austria, with a workforce made up of close to 16,500 spirited people, all driven by the deeply held belief that at work, as with life itself, it’s not about the destination: It’s about the journey.
#LI-Hybrid

Join BRP’s dynamic and inclusive Data & Analytics team in Canada, and help shape the future of data-driven marketing at one of the world’s most innovative companies. We’re building a talented team that will transform how we use data to understand customers, personalize experiences, and drive smarter marketing decisions.
As a Senior Data & Analytics Engineer, you will play a key role in building and optimizing our marketing data pipelines and solutions. You will collaborate with passionate colleagues, work on exciting projects, and have the opportunity to grow your skills while making a meaningful impact on the business.
YOU'LL HAVE THE OPPORTUNITY TO:
Design, implement, and maintain robust, scalable ELT data pipelines to support marketing analytics, ensuring efficient integration with CI/CD processes. Develop automated testing and deployment workflows while maintaining strong version control practices using Azure Repos

Work closely with business teams to understand data needs and deliver high-quality solutions

Collaborate closely with Agile squads to drive iterative development, ensure efficient workflows, and foster a culture of continuous improvement and innovation

Build data integrations from multiple sources

Design, implement and optimize data models with a medallion architecture using Star Schema and Snowflake techniques to enhance query performance and support analytical workloads

Ensure data quality, consistency, and reliability across all marketing datasets

Collaborate with analysts and data scientists to deliver clean, usable data for reporting and advanced analytics

Help establish best practices and contribute to a positive, inclusive, learning-focused team culture

Document technical processes clearly to ensure easy future maintenance

Stay up to date with new tools, technologies, and approaches in data engineering and marketing analytics

YOU’LL THRIVE IN THIS ROLE IF YOU HAVE THE FOLLOWING SKILLS AND QUALITIES:
Significant experience with Snowflake, DBT, Python Dagster, Airflow or similar orchestrating tool

Knowledge of additional technologies is a plus: Azure, Microsoft SQL Server, Power BI

Strong proficiency in SQL & Python

Familiarity with additional languages is a plus: Javascript / Node.js, Java

Experience working with marketing or customer data is a plus

Understanding of CRM systems, digital marketing platforms, or campaign analytics

Experience validating data quality and performing data profiling

Comfortable working in Agile teams and with DevOps practices

Strong interpersonal and communication skills, in Portuguese and English

Passion for continuous learning and openness to new ideas and technologies

A collaborative and supportive working style, with an openness to sharing knowledge

Commitment to fostering an inclusive and respectful team environment

Do you have other qualifications? Tell us what is unique about you that is a great addition to the team.

ACKNOWLEDGING THE POWER OF DIVERSITY
BRP is dedicated to nurturing a culture that invites, connects, and propels the ambitions of people of all backgrounds, profiles, beliefs and experiences. Ultimately, the diversity and uniqueness of our people fuel our ingenuity and set the course for the path ahead!
For this reason, we value diversity and we strive to always push each other forward to build an inclusive workplace where every employee feels like they belong, where they can grow and find meaning.
AT BRP, WHEN WE TALK ABOUT BENEFITS, WE GO ALL IN.
Let’s start with a strong foundation - You want it, we have it:
Annual bonus based on the company’s financial results

Generous paid time away

Pension plan

Collective saving opportunities

Industry leading healthcare fully paid by BRP

What about some feel good perks:
Flexible work schedule

A summer schedule that varies by department and location

Holiday season shutdown

Educational resources

Discount on BRP products

WELCOME TO BRP
We’re a world leader in recreational vehicles and boats, creating innovative ways to move on snow, water, asphalt, dirt and even in the air. Headquartered in the Canadian town of Valcourt, Quebec, our company is rooted in a spirit of ingenuity and intense customer focus. Today, we operate manufacturing facilities in Canada, the United States, Mexico, Finland, Australia and Austria, with a workforce made up of close to 16,500 spirited people, all driven by the deeply held belief that at work, as with life itself, it’s not about the destination: It’s about the journey.
#LI-Hybrid

Job Description

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've likely used.

Within this role, you'll have the chance to work on an application that is used by millions of users daily. With your expertise in BI, Data warehousing and big data you'll contribute to the expanding expertise of the team and keep data components current!

You Have:

• Minimum 5+ years professional working experience as a Data Engineer
• Strong experience working with both batch and real-time ETL involving large data sets
• Experience mentoring and guiding Junior Data Engineers in previous roles
• Strong Experience working with SQL and large data sets
• Hands-on experience coding in Python is required
• Experience working with Business Intelligence and Data Warehousing
• Experience working with data services on the cloud such as AWS and/or Google Cloud Platform environments
• Experience with REST API's

Some AWESOME selling points:

• Remote + flexible work schedule
• North of six figures salary + Equity + Health Spending Account (it's competitive)
• Amazing opportunity for career progression to lead
• Amazing mentorship (seriously)
• Plenty of vacay
• RRSP Matching
• Team budget for education for employees
  
  

It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

Job Description

Lead Data Engineer - Ville St-Laurent (Office first)
Ready to hop into something extraordinary? We're Psycho Bunny - the rebelliously refined clothing brand turning heads with our premium quality, vibrant style, and that unmistakable logo. With over 200 points of sales worldwide (and counting!), we're on a mission to redefine bold standards in retail.

The Opportunity
The Data Engineer reports to the Director of Data and Analytics and plays a critical role in driving the company’s data strategy by building and maintaining the data infrastructure necessary for advanced analytics and business intelligence. You will ensure the seamless integration, management, and security of data across the organization. Your work will empower stakeholders with the insights they need to make data-driven decisions that impact business operations and overall strategy.

Your Daily Adventures

Data Pipeline Management

• Partner with business unit leaders to understand all data needs and requirements, ensuring alignment with business objectives.
• Design, develop, and maintain reliable data pipelines that efficiently process large volumes of data according to evolving business needs.
• Implement systems and practices to ensure data is accessible and usable for business intelligence tools, data analytics teams, and other stakeholders.
• Manage the loading and transformation of data through both technical processes and business logic.
• Produce strategic data that adds value and contributes to the organization’s growth and competitiveness.

Data Quality and Integrity

• Establish and enforce data quality standards, methodologies, and systems to ensure data accuracy and reliability.
  Monitor data ingestion and processing, resolving any discrepancies and ensuring smooth data flows.
• Collaborate with data source providers, Psycho Bunny vendors and internal stakeholders to address data quality issues effectively.
• Catalog and document the data sources needed to implement self-service analytics across the organization.
• Process Improvement: Continually improve ongoing reporting and analysis processes and practices to enhance data quality and efficiency.

Data Governance

• Establish and adhere to data governance policies and standards.
• Ensure all data management practices comply with industry and government regulations and company policies.
• Maintain comprehensive documentation of data processes, ensuring transparency and accessibility for stakeholders.

Database Design

• Design and implement scalable database architectures using Snowflake, tailored to meet the company’s growing data needs.
• Lead the design and implementation of scalable, cloud-based data pipelines using Snowflake.
• Develop robust data models for managing retail datasets such as inventory, sales, customer behavior, and supply chain.
• Optimize Snowflake configurations for performance and cost-efficiency.2. Pipeline Development
• Build, monitor, and maintain ETL/ELT pipelines to process large volumes of retail data from multiple sources (e.g., POS systems, e-commerce platforms, CRM, and ERP systems).
• Leverage tools like dbt, Apache Airflow, Astronomer for orchestration and transformation.
• Develop and maintain data models that support efficient querying and reporting across various business domains.
• Optimize database performance through indexing, partitioning, and other database management techniques.
• Tune data pipelines for low latency and high availability to meet the dynamic needs of the retail business.
• Implement strategies for efficient handling of high-velocity data (real-time inventory, demand forecasting, customer preferences, customer 360).
• Stay updated with the latest Snowflake features, retail analytics trends, and data engineering best practices.
• Design and implement frameworks for data quality, governance, and lineage tracking.
• Data Security and Privacy
• Implement and maintain robust security measures to protect sensitive data from unauthorized access and breaches.
• Ensure data practices align with privacy regulations such as GDPR, CCPA, or other relevant policies to your industry.
• Manage data access controls, ensuring that only authorized users have access to sensitive information.

Your tool kit

• 6 to 8 years of experience in a related field
• Diploma in Computer Science, Data Engineering, or a related field
• Extensive experience with Snowflake, including Snowflake-specific capabilities like virtual warehouses, zero-copy cloning, and Snowpipe.
• Proficiency in Python, SQL, and Java or Scala for large-scale data processing.
• Hands-on experience with Kafka, Spark, or similar tools for streaming and batch processing.
• Advanced knowledge of AWS, Azure, or GCP; experience with integrating Snowflake into cloud ecosystems such AWS.
• Data Integration: Proficiency with ETL/ELT tools like Fivetran, Matillion, or Informatica.
• Strong project management skills to deliver on complex, multi-stakeholder data projects.
• Excellent communication skills to collaborate with both technical and non-technical stakeholders.

Why Choose the Psycho Bunny Life?

• Sweet discount on the coolest fits
• Room to grow in a rapidly expanding brand
• Surrounded by smart and passionate people
• A group RRSP/DPSP plan, which includes a very generous match from Psycho Bunny!
• On-site gym and on-site cafeteria / bistro with subsidized meals, including breakfast and lunch.
• Three (3) weeks of vacation
• Six (6) wellness days and your birthday off, on us
  
  

Ready to Set a Bold Standard?
Apply now to join and show us what makes you uniquely bold!

Diversity & Inclusion
Excited by this opportunity? Psycho Bunny is dedicated to growing our diverse and inclusive workforce, so if your past experience doesn't perfectly match the listed requirements we encourage you to apply anyways - you could be a great fit for this or other positions.

Psycho Bunny is an Equal Employment Opportunity employer committed to building a diverse and equitable workplace, and inclusive environment for all existing and potential employees. Employment decisions are based on candidate qualifications and business need, not race, color, ancestry, place of origin, age, sex (including pregnancy), gender identity or expression, sexual orientation, political belief, religion, creed, marital or family status, medical condition, genetic information, physical or mental disability, military or veteran status, prior criminal conviction or any other protected class in accordance with federal, state or provincial and local laws and ordinances. Accommodations will be provided as requested by candidates taking part in all aspects of the selection process.

Job Description

At CWP Energy Trading, we are an innovative company operating at the intersection of energy analytics and fintech. Our mission is to leverage high-quality data analytics and deep market expertise to optimize power markets. We are looking for a Senior Data Engineer to support multiple teams across the company by building and maintaining a scalable data infrastructure.

As Senior Data Engineer, you'll drive the consolidation of our data infrastructure, help the team with best practices, and drive data governance. With a strategic mindset, you'll prioritize data needs and keep stakeholders informed.

Key Responsibilities

• Build and maintain reliable data pipelines to integrate data from many heterogeneous sources.
• Develop and maintain a data catalog documenting all datasets, their sources, and usage guidelines.
• Own the user experience of data users across the business, supporting both structured analytics and ad-hoc querying needs.
• Drive the data infrastructure, including the use of infrastructure-as-code tools, across all data projects.
• Implement and support both batch processing and real-time streaming solutions.
• Work closely with multiple teams across the company to define and prioritize data needs.
• Regularly update stakeholders on data availability, system performance, and project status.

• 8+ years of experience in data engineering or a related field.
• Demonstrated expertise in data warehousing and data governance at data-intensive organizations.
• Proficiency in Python and SQL for data processing.
• Strong experience with analytical databases (BigQuery, Snowflake, Databricks).
• Experience with ETL/ELT pipelines and workflow orchestration tools (Dagster, Apache Airflow, dbt).
• Proven track record in taming large numbers of heterogeneous data sources.
• Expertise in at least one cloud computing platform (GCP is a plus).
• Experience with real-time data streaming technologies is desirable (Dataflow, Kafka, Flink, Spark Streaming, Kinesis).
• Familiarity with large language models (LLMs), reinforcement learning, and model deployment will be a plus.
• Strong communication with the ability to present technical concepts to non-technical audiences.
• Senior and versatile professional, comfortable when interacting with developers as well as C-Suite stakeholders.

• A dynamic environment that encourages initiative and experimentation. Here’s McGill St Laurent
• A results-driven corporate culture.
• Full group insurance and an RRSP contribution program.
• Vacation policy from day one.
• Public transit incentive program.
• Give & Match program.
• Flexible hours and hybrid work options.
• A modern office with a gym, lounge, locker rooms, and showers.

Chez CWP Energy Trading, on repousse les limites entre l’analytique énergétique et la fintech. Notre mission : exploiter des données de qualité et une expertise pointue des marchés pour optimiser le secteur de l’électricité. On cherche un·e Data engineer sénior prêt·e à bâtir et faire évoluer une infrastructure de données robuste au service de toutes nos équipes. Ton rôle : piloter la consolidation de notre architecture data, instaurer les meilleures pratiques, structurer la gouvernance des données et faire rayonner une vision stratégique. Tu sauras prioriser les besoins, accompagner les équipes et garder tout le monde aligné grâce à une communication claire et proactive.

• Concevoir et maintenir des pipelines de données fiables afin d’intégrer des données issues de sources hétérogènes.
• Développer et mettre à jour un catalogue de données documentant l’ensemble des données, leurs sources et leurs règles d’utilisation.
• Garantir une expérience optimale aux utilisateurs de données au sein de l’entreprise en répondant à leurs besoins analytiques, qu’ils soient structurés ou ponctuels.
• Gérer l’infrastructure de données, y compris l’utilisation d’outils d’infrastructure-as-code, pour l’ensemble des projets liés aux données.
• Mettre en place et assurer le suivi des solutions de traitement par lots ainsi que de diffusion en temps réel.
• Travailler en étroite collaboration avec plusieurs équipes afin d’identifier et de hiérarchiser les besoins en données.
• Informer régulièrement les parties prenantes sur la disponibilité des données, la performance des systèmes et l’état d’avancement des projets.

• Plus de 8 ans d’expérience en ingénierie des données ou dans un domaine connexe.
• Expertise démontrée en entreposage de données et en gouvernance des données, acquise au sein d’organisations à forte intensité data.
• Maîtrise de Python et SQL pour le traitement des données.
• Solide expérience avec les bases de données analytiques (BigQuery, Snowflake, Databricks).
• Expérience dans la conception de pipelines ETL/ELT et l’utilisation d’outils d’orchestration de workflows (Dagster, Apache Airflow, dbt).
• Capacité prouvée à gérer un grand nombre de sources de données hétérogènes.
• Maîtrise d’au moins une plateforme de cloud computing (GCP est un atout).
• Une expérience avec les technologies de diffusion de données en temps réel est souhaitable (Dataflow, Kafka, Flink, Spark Streaming, Kinesis).
• Une connaissance des grands modèles de langage (LLMs), de l’apprentissage par renforcement et du déploiement de modèles est un plus.
• Excellentes compétences en communication avec la capacité de vulgariser des concepts techniques auprès de publics non techniques.
• Profil senior, polyvalent, à l’aise aussi bien avec les développeurs qu’avec les cadres exécutifs.

• Un environnement dynamique où l’initiative et l’expérimentation sont encouragées. Voici McGill St Laurent
• Une culture d’entreprise axée sur les résultats.
• Assurance collective complète et programme de cotisation REER.
• Politique de congés dès l’entrée en poste.
• Programme d’incitatif au transport en commun.
• Programme Give & Match.
• Horaires flexibles et télétravail hybride.
• Un bureau moderne avec gym, lounge, vestiaires et douches.

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Job Description

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global enterprise company with a product that you've likely used.

You Have:

• Minimum 2+ years professional working experience as a Data Engineer
• Strong Experience working with SQL and large data sets
• Hands-on experience coding in Python would be a strong asset
• Experience working with Business Intelligence and Data Warehousing
• Experience working with data services on the cloud such as AWS and/or Google Cloud Platform environments
• Experience with REST API's

Perks:

• Competitive Salary
• Individual performance bonus
• Health and dental benefits
• 3 weeks vacation
• Relocation Package
• RSP matching

If this opportunity sounds like something that fits your career path, please apply to this posting; we'd love to talk to you!

Job Description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Sr. Data Engineer with expertise in Snowflake to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Cloud Snowflake DBT. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

• 9+ years of overall industry experience specifically in data engineering
• 5+ years of experience building and deploying large-scale data processing pipelines in a production environment
• Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes/Snowflake
• Solid experience with Snowflake Cloud Data Platform (SnowPro Core Certification is a bonus) or other cloud data warehouses (AWS Services)
• Experience with dbt (core and/or Cloud) and Fivetran
• Experience with Informatica Cloud is a bonus
• Strong problem-solving skills and the ability to handle complex data challenges
• Build processes supporting data transformation, data structures, metadata, dependency and workload management

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.