Position Title: Sr. Principal Engineer - Data, AI & Analytics Position Type: Regular - Full-Time Requisition ID: 41206 At McCain, we believe in meaningful technology – using digital technology not just for innovation, but to make a difference globally. Join a team where innovation drives purpose and technology shapes the future. This is your chance to develop sought‑after expertise, work on exciting, high‑impact projects, and create solutions that truly make a difference. If you're ready to push boundaries, tackle purposeful challenges, and build a career that matters, we want you on our team. In every role, McCainers are ambitious, curious, and passionate about creating exceptional work experiences – together. With a customer‑first mindset, we make doing business with McCain easy. About the Role We are seeking a highly skilled and experienced Sr. Principal Engineer to join our growing analytics team. The ideal candidate will 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 Sr. Principal Engineer will collaborate closely with cross‑functional teams to ensure data integrity, optimize performance, and support data‑driven decision‑making across the organization. What You’ll Be Doing 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 into a 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 enhancing existing data infrastructure and architecture for scalability. Create data tools for analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader. Stay updated on emerging technologies and best practices in data engineering and incorporate them into existing systems and processes. What You’ll Need To Be Successful Bachelor’s degree or higher in Computer Science, Engineering, or a related field preferred. 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 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. Compensation Package $102,700.00 – $137,000.00 CAD annually + Bonus Eligibility Benefits At McCain, we’re on a mission to create a winning culture that puts employee safety and well‑being at the heart of what we do, every day. Employees are eligible for 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. Employment Equity 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. Privacy Your privacy is important to us. By submitting personal data or information to us, you agree that this will be handled in accordance with McCain’s Global Privacy Policy and Global Employee Privacy Policy, as applicable. McCain leverages AI in the hiring process, though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled here. Job Family Information Technology Location CA - Canada : Ontario : Toronto Company McCain Foods (Canada) #J-18808-Ljbffr