About the role
About Us
The Ontario Cannabis Store provides safe, responsible access to recreational cannabis for adults 19 and older. We operate the sole legal online store for recreational cannabis in Ontario and are the provincial wholesaler of cannabis for private retail stores.
Working at the OCS is a unique opportunity to be part of an agile start-up in a ground-breaking new industry. We’re a diverse team passionate about delivering a great customer experience, working together with mutual respect and building value out of our differences. We’re an inclusive organization that understands that delivering great results comes out of ensuring every voice is heard.
About the Role
We're looking for a Data Engineer to join our team! The Data Engineer will design, build, and maintain scalable data pipelines and architectures that support advanced analytics, reporting, and dashboards. This role will transform complex data into reliable, high-quality datasets that enable business and analytics teams to make informed decisions. Working collaboratively across the organization, the Data Engineer will translate business requirements into technical solutions while contributing to the development of modern data platforms and data governance practices.
About Your Day
Design, build, and maintain batch and real-time data pipelines. Develop scalable data integration solutions across multiple data sources to support business intelligence and analytics. Build and optimize ETL/ELT processes using Azure technologies, including Data Factory, Synapse, Functions, and Logic Apps. Automate data workflows, monitor pipeline performance, and resolve issues as needed. Implement best practices for data storage, processing, and consumption while adhering to architectural standards. Translate business requirements into technical designs and data models. Create and maintain technical and functional documentation. Communicate complex technical concepts in a clear, actionable manner to support data-driven decision-making. Collaborate with business, analytics, vendors, and partners to ensure data assets are accessible, well-documented, and aligned with business objectives. Manage stakeholder priorities and deliver data solutions within agreed timelines. Enable secure, reliable, and governed data sharing to support integrations and partnerships. Maintain and enhance the Azure-based data platform and ecosystem. Manage data ingestion, transformation, and delivery across systems. Ensure data quality, integrity, and consistency across all data pipelines. Design and evolve datasets and data structures to meet changing business needs. Contribute to the continuous improvement of data architecture, platform performance, and scalability.
About You
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or an equivalent combination of education and experience. Microsoft Azure Data Engineer certification is preferred. AWS Certified Data Analytics or Data Engineer certification is preferred. 3+ years of experience in data engineering, data warehousing, analytics engineering, or a related field. Experience designing, building, and maintaining data pipelines and analytics solutions. Strong experience with Azure data services, including Azure Data Factory, Synapse, Data Lake, and Functions. Experience with data modeling, schema design, and data warehousing concepts. 3+ years of experience working with large-scale SQL and NoSQL databases preferred. 1+ year of experience working with distributed systems such as Spark or Hadoop preferred. 3+ years of experience working with cloud platforms such as Azure, AWS, or GCP is an asset. Proficiency in SQL and at least one programming language, such as Python. Working knowledge of BI tools, including Power BI. Advanced proficiency in Microsoft Excel. Strong analytical, problem-solving, and critical-thinking skills. Ability to work independently in a fast-paced, agile environment. Strong communication and stakeholder management skills. Ability to translate business requirements into effective technical solutions.
About the Job
Location: Toronto, ON near York Mills and Yonge Street Hours of Work: 36.25 a week Employment Type: Permanent, Full-Time Required Travel: Rare, usually within the GTA Compensation The target hiring range for this position is $ 95,000- $ 110,000. This is a pay grade 7 role, with a salary range of $82,623.96 - $123,507.59. Placement in the salary range will be based on factors such as market conditions, internal equity, and candidate experience, skills, and qualifications relevant to the role. We are committed to providing an accessible, equitable and inclusive candidate and employee experience. We provide reasonable accommodation throughout the recruitment process and in employment. If you require an accommodation, please let us know, we will work with you to meet your needs.
Not the right fit? Search for Data Engineer jobs in Toronto, Ontario, Canada
About OCS Ontario Cannabis Store
The Ontario Cannabis Store is a Crown agency solely owned by the Province of Ontario and reporting to the Ministry of Finance.
The OCS provides safe, responsible access to legal recreational cannabis for adults 19 and older. We are Ontario’s sole wholesaler to more than 1,500 Authorized Cannabis Stores. The OCS also operates OCS.ca, the Province’s online cannabis retailer which delivers to consumers in every corner of Ontario.
We make sure our customers only receive legal, clearly labelled cannabis products by working closely with a diverse group of Licensed Producers authorized by Health Canada. Our online store prioritizes education and provides many opportunities for both new and experienced consumers to learn more about cannabis and responsible use.
Our customer-care centre is staffed by knowledgeable, helpful product specialists who provide the information our customers need to make the right choices. Social responsibility is something we take seriously and making every purchase a responsible one is a top priority.
We are looking for passionate, proven performers to join our diverse team and help us continue to grow our business as we define best-in-class standards for a new industry.
Similar Jobs
About the role
About Us
The Ontario Cannabis Store provides safe, responsible access to recreational cannabis for adults 19 and older. We operate the sole legal online store for recreational cannabis in Ontario and are the provincial wholesaler of cannabis for private retail stores.
Working at the OCS is a unique opportunity to be part of an agile start-up in a ground-breaking new industry. We’re a diverse team passionate about delivering a great customer experience, working together with mutual respect and building value out of our differences. We’re an inclusive organization that understands that delivering great results comes out of ensuring every voice is heard.
About the Role
We're looking for a Data Engineer to join our team! The Data Engineer will design, build, and maintain scalable data pipelines and architectures that support advanced analytics, reporting, and dashboards. This role will transform complex data into reliable, high-quality datasets that enable business and analytics teams to make informed decisions. Working collaboratively across the organization, the Data Engineer will translate business requirements into technical solutions while contributing to the development of modern data platforms and data governance practices.
About Your Day
Design, build, and maintain batch and real-time data pipelines. Develop scalable data integration solutions across multiple data sources to support business intelligence and analytics. Build and optimize ETL/ELT processes using Azure technologies, including Data Factory, Synapse, Functions, and Logic Apps. Automate data workflows, monitor pipeline performance, and resolve issues as needed. Implement best practices for data storage, processing, and consumption while adhering to architectural standards. Translate business requirements into technical designs and data models. Create and maintain technical and functional documentation. Communicate complex technical concepts in a clear, actionable manner to support data-driven decision-making. Collaborate with business, analytics, vendors, and partners to ensure data assets are accessible, well-documented, and aligned with business objectives. Manage stakeholder priorities and deliver data solutions within agreed timelines. Enable secure, reliable, and governed data sharing to support integrations and partnerships. Maintain and enhance the Azure-based data platform and ecosystem. Manage data ingestion, transformation, and delivery across systems. Ensure data quality, integrity, and consistency across all data pipelines. Design and evolve datasets and data structures to meet changing business needs. Contribute to the continuous improvement of data architecture, platform performance, and scalability.
About You
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or an equivalent combination of education and experience. Microsoft Azure Data Engineer certification is preferred. AWS Certified Data Analytics or Data Engineer certification is preferred. 3+ years of experience in data engineering, data warehousing, analytics engineering, or a related field. Experience designing, building, and maintaining data pipelines and analytics solutions. Strong experience with Azure data services, including Azure Data Factory, Synapse, Data Lake, and Functions. Experience with data modeling, schema design, and data warehousing concepts. 3+ years of experience working with large-scale SQL and NoSQL databases preferred. 1+ year of experience working with distributed systems such as Spark or Hadoop preferred. 3+ years of experience working with cloud platforms such as Azure, AWS, or GCP is an asset. Proficiency in SQL and at least one programming language, such as Python. Working knowledge of BI tools, including Power BI. Advanced proficiency in Microsoft Excel. Strong analytical, problem-solving, and critical-thinking skills. Ability to work independently in a fast-paced, agile environment. Strong communication and stakeholder management skills. Ability to translate business requirements into effective technical solutions.
About the Job
Location: Toronto, ON near York Mills and Yonge Street Hours of Work: 36.25 a week Employment Type: Permanent, Full-Time Required Travel: Rare, usually within the GTA Compensation The target hiring range for this position is $ 95,000- $ 110,000. This is a pay grade 7 role, with a salary range of $82,623.96 - $123,507.59. Placement in the salary range will be based on factors such as market conditions, internal equity, and candidate experience, skills, and qualifications relevant to the role. We are committed to providing an accessible, equitable and inclusive candidate and employee experience. We provide reasonable accommodation throughout the recruitment process and in employment. If you require an accommodation, please let us know, we will work with you to meet your needs.
Not the right fit? Search for Data Engineer jobs in Toronto, Ontario, Canada
About OCS Ontario Cannabis Store
The Ontario Cannabis Store is a Crown agency solely owned by the Province of Ontario and reporting to the Ministry of Finance.
The OCS provides safe, responsible access to legal recreational cannabis for adults 19 and older. We are Ontario’s sole wholesaler to more than 1,500 Authorized Cannabis Stores. The OCS also operates OCS.ca, the Province’s online cannabis retailer which delivers to consumers in every corner of Ontario.
We make sure our customers only receive legal, clearly labelled cannabis products by working closely with a diverse group of Licensed Producers authorized by Health Canada. Our online store prioritizes education and provides many opportunities for both new and experienced consumers to learn more about cannabis and responsible use.
Our customer-care centre is staffed by knowledgeable, helpful product specialists who provide the information our customers need to make the right choices. Social responsibility is something we take seriously and making every purchase a responsible one is a top priority.
We are looking for passionate, proven performers to join our diverse team and help us continue to grow our business as we define best-in-class standards for a new industry.