Jobs at Pattison Food Group

The Database Administrator will manage on-premises and cloud databases, ensuring high availability and optimal performance through tuning, support, and collaboration with other IT teams.

Responsible for designing and implementing technical solutions for workforce management integrations, ensuring reliability and compliance. Provides leadership and mentorship to developers while coordinating deployments and continuous improvement of integration standards.

The Marketing Manager, CRM will drive omnichannel engagement for loyalty members, oversee multichannel marketing strategies, personalization, and manage a CRM team, focusing on enhancing customer experiences and campaign effectiveness.

As a Machine Learning Engineer, you will develop, deploy, and maintain ML pipelines, collaborate with data teams, and manage production issues.

The Technical Specialist, Networks designs and improves network infrastructure, troubleshoots issues, implements security, and integrates networking with cloud environments while providing technical leadership and mentoring.

Responsible for technical direction and implementation of data integration platforms, supporting and maintaining systems, and mentoring team members.

The Enterprise Solution Architect will lead technical strategy, support application architecture, collaborate with stakeholders, and define solutions to improve integration and data architecture.

The Senior DevOps Engineer will lead DevOps initiatives, manage CI/CD pipelines, optimize cloud environments, and collaborate with cross-functional teams to enhance operational efficiency.

The Senior Tax Analyst will review tax positions, ensure compliance across jurisdictions, support business tax matters, and assist in audits and tax risk management.

The Decision Science Analyst will support data-driven projects, conduct statistical experiments, automate workflows using SQL and Python, and develop insights and dashboards for business improvement.

The QA Data Engineer will validate data engineering code, create automation frameworks, monitor data quality reports, collaborate on deploying data solutions, and address production issues while maintaining high code quality.