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Position Title: Data Engineer Manager 

Position Type: Regular - Full-Time ​

Position Location: Toronto HQ 

Requisition ID: 28250 



Position Summary


We are seeking a highly skilled and experienced Data Engineer Manager to join our growing analytics team. The ideal candidate with be responsible for designing, implementing, and maintaining scalable data pipelines and systems. This role requires expertise in data modeling, ETL processes, and proficiency in various programming languages and technologies. The Data Engineer Manager will collaborate closely with cross-functional teams to ensure data integrity, optimize performance, and support data-driven decision-making across the organization.


Job Responsibilities


  • Design, develop, and maintain robust and scalable data pipelines and infrastructure. Implement efficient ETL processes to extract, transform, and load data from internal and external data sources in data warehouse or data lake.
  • Create and maintain data models, schemas, and databases to support business requirements while optimizing database performance and ensuring data quality and integrity.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable insights. Identify and address data-related issues and troubleshoot problems as they arise.
  • Document data pipelines, workflows, and systems for knowledge sharing and scaling Data-as-a-Service. Participate in code reviews, provide technical expertise, and mentor junior team members.
  • Identify, design, and implement internal process improvements – automating manual processes, optimizing data delivery, and enhance existing data infrastructure and architect for scalability.
  • Create data tools for analytics and data science team members that assists them in building and optimizing our product into innovative industry leader.
  • Stay updated on emerging technologies and best practices in data engineering and incorporate them into existing systems and processes.





  • Bachelor’s degree or higher in Computer Science, Engineering, or related field.
  • Proven expertise as a Data Engineer or similar role, with a track record of designing and implementing data solutions.
  • Proficiency in programming languages such as Python, SQL, Java, or Scala. Experience with big data technologies such as Hadoop, Spark, Kafka, or similar.
  • Expertise in data modeling, database design, and data warehousing concepts especially for ‘big data’ pipelines.
  • Hands-on expertise with cloud platforms such as AWS, Azure, or Google cloud.
  • Strong analytical and problem-solving skills, with the ability to work independently and collaboratively in a fast-paced environment.
  • Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders.


Preferred Qualifications


  • Master’s degree or PHD in a relevant field.
  • Certification in cloud computing and experience with machine learning and AI technologies.
  • Knowledge of DevOps practices and CI/CD pipelines.
  • Experience working in Agile or Scrum environments.
  • 4+ years of Python or Java development experience
  • 4+ years of SQL experience (No-SQL experience is a plus)
  • 4+ years of experience with schema design and dimensional data modeling

McCain Foods is an equal opportunity employer. We see value in ensuring we have a diverse, antiracist, inclusive, merit-based, and equitable workplace.  As a global family-owned company we are proud to reflect the diverse communities around the world in which we live and work. We recognize that diversity drives our creativity, resilience, and success and makes our business stronger. 
McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to meet your needs.

The health and safety of McCain employees and their families has been our number one priority since the start of COVID-19 pandemic. With vaccination restrictions easing across the globe we do not currently require employees to be vaccinated, but we reserve the right to change this mandate in line with health guidance and regulations in each country.
Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with the Global Privacy Policy 


Job Family: Information Technology      
Division: Global Technology 
Department: ​NA Data Strategy and Analytics ​
Location(s): CA - Canada : Ontario : Toronto 

Company: McCain Foods (Canada) 

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