Engineering Manager, Data AI & Analytics

McCain Foods; Toronto; On-site; CAD 102,700 - 137,000; Full time

Benefits offered by this job

Health coverage

Retirement savings benefits

Vacation and holidays

Job summary

McCain Foods is seeking an Engineering Manager, Data AI & Analytics in Toronto, Canada. This full-time role involves leading a team of Data Engineers to deliver scalable data solutions across various domains. Candidates should possess a Bachelor’s degree in Computer Science and significant experience in data engineering. The compensation package ranges from $102,700.00 to $137,000.00 CAD annually, alongside bonuses and comprehensive benefits including health coverage and retirement savings.

Qualifications

• 5+ years of experience as a Data Engineer delivering end-to-end data solutions.
• Proficiency in one or more programming languages such as Python, SQL, or Java.
• Experience with data platforms and cloud services like Azure, AWS, or Google Cloud.

Responsibilities

• Lead the design and implementation of scalable data pipelines.
• Provide technical leadership and mentorship to Data Engineers.
• Collaborate with stakeholders to deliver actionable data solutions.

Skills

Data Engineering

Python

SQL

Java

Cloud platforms

Data modeling

Agile development

Analytical skills

Communication

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

Azure Synapse

Redshift

Job description

Position Title: Engineering Manager, Data AI & Analytics

Position Type: Regular - Full-Time

Requisition ID: 42289

About The Role

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.

What You’ll Be Doing

• 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

What You’ll Need To Be Successful

• 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
• Preferred: advanced degree, cloud certifications, DevOps and CI/CD experience, exposure to machine learning or AI technologies, and significant experience leading technical teams

Benefits

Compensation Package: $102,700.00 - $137,000.00 CAD annually + Bonus Eligibility. Benefits include health coverage (medical, dental, vision, prescription drug), retirement savings benefits, and leave support including medical, family and bereavement. Well‑being programs include vacation and holidays, company‑supported volunteering time, and mental health resources. Additional benefit detail available during the application process.

Equal Opportunity Employer

McCain Foods is an equal‑opportunity employer. As a global family‑owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law.

Accessibility

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 find appropriate solutions.

Job Family: Information Technology

Location(s): CA - Canada : Ontario : Toronto

Company: McCain Foods (Canada)