Engineering Manager, Data AI & Analytics
''•Toronto, ON
•CA$102,700 - CA$137,000•Hybrid
About The Position
Reporting to the Director of Platform Engineering, Data AI & Analytics, the Data Engineer Manager leads and develops a team of Data Engineers while remaining hands-on in the delivery of scalable, high-quality data solutions. This role plays a critical part in McCain’s global digital transformation by enabling reliable, performant, and trusted data across Agriculture, Manufacturing, and Commercial domains. The Data Engineer Manager partners closely with data architects, analytics teams, and business stakeholders to support enterprise-wide, data-driven decision-making.
Requirements
- Bachelor’s degree or higher in Computer Science, Engineering, or a related field
- Proven experience as a Data Engineer delivering end-to-end data solutions
- Proficiency in one or more languages such as Python, SQL, Java, Scala, Spark, or PySpark
- Experience with modern data platforms such as Databricks, Azure Synapse, Redshift, or similar
- Strong knowledge of data modeling, database design, and data warehousing concepts
- Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud
- Experience leading or managing agile software development teams
- Strong analytical and problem-solving skills, with the ability to work independently and collaboratively
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences
Nice To Haves
- advanced degree
- cloud certifications
- DevOps and CI/CD experience
- exposure to machine learning or AI technologies
- significant experience leading technical teams
Responsibilities
- Lead Data Engineering teams in the design, development, and implementation of scalable data pipelines and data objects across McCain systems
- Provide hands-on technical leadership, coaching, and day-to-day guidance to Data Engineers
- Own end-to-end data ingestion and delivery, including pipeline design, development, maintenance, and supporting infrastructure
- Ensure efficient ELT processes to extract, load, and transform data into the Enterprise Data Platform
- Partner with Data Architects to define and maintain optimized data models, schemas, and database designs
- Collaborate with data scientists, analysts, and business stakeholders to translate requirements into actionable data solutions
- Establish and maintain documentation standards to support Data-as-a-Service and scalable knowledge sharing
- Lead and participate in code reviews, mentoring junior engineers and promoting engineering best practices
- Drive automation, CI/CD, and DevOps practices to improve reliability, scalability, and deployment efficiency
- Continuously evaluate emerging data engineering technologies and incorporate improvements into existing platforms
Benefits
- health coverage (medical, dental, vision, prescription drug)
- retirement savings benefits
- leave support including medical, family and bereavement
- vacation and holidays
- company-supported volunteering time
- mental health resources
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What This Job Offers
Job Type
Full-time
Career Level
Manager
