Top Data Engineer Jobs in Montreal

As a Data Engineer at Sporty, you will design and maintain data pipelines, ensure data quality, and work on data applications and architectures for machine learning initiatives.

Responsible for designing and maintaining data pipelines, collaborating with data scientists and analysts, and building analytical models to inform decision-making in People Analytics.

Lead the design and development of scalable data architecture and optimization of data pipelines while mentoring junior engineers.

As a Customer Data Engineer, you will deploy data models, optimize the data warehouse, and collaborate with cross-functional teams to enhance customer data utilization.

The Intermediate Data Engineer will build and maintain data pipelines, ensuring data integrity and quality, while collaborating across teams. Key responsibilities include data modeling and security management.

The ML Data Engineer will develop and manage feature engineering ETL pipelines for machine learning applications, optimize data quality, and support model training while working collaboratively with cross-functional teams.

The Data Engineer will design ETL pipelines, manage automated dashboards, and enhance data workflows, driving data-driven decisions in dynamic environments.

As a Data Engineer, you will build and maintain ETL pipelines, analyze requirements, develop databases, and mentor junior team members while collaborating with other engineers to support customer implementations.

The role involves managing BI tools, developing ETL pipelines, creating documentation, training team members, and ensuring compliance with standards.

As a Senior Data Engineer at Lightspeed, you'll design and maintain data models, optimize queries, build pipelines, and ensure data integrity to support business decision-making and analytics.

The Senior Data Engineer will build and optimize data infrastructure, develop scalable pipelines, and create robust data models for analytics. Responsibilities include ensuring data integrity, automating ETL processes, and collaborating with cross-functional teams to support business insights.

The Sr. Data Platform Engineer will enhance Stability's data platform using AWS and GCP, lead technical decisions, mentor, and analyze data to drive strategy.

Build and maintain a scalable AI data platform, collaborating with teams to ensure optimal data lifecycle management and infrastructure for machine learning applications.

The Senior Data Engineer will design and manage data pipelines, working with both structured and unstructured data to enhance enterprise data governance and support analytics and data science efforts.

As a Senior Data Analytics Developer, you will transform raw data into insights, collaborate on data requirements, and optimize data processing for reporting.

As a Senior Data Migration Engineer, you will oversee data migration to GCP, analyze data structures, design strategies, ensure data integrity, and support stakeholders.

Designs and develops data platforms and scalable pipelines, optimizes data processing, collaborates with teams for data analysis, and drives strategic insights.