Senior Data DevOps Engineer

Who we are

At Scene+, we foster an entrepreneurial spirit that drives our mission: making tomorrow even more rewarding for our members. As a unique joint venture between Cineplex, Empire, and Scotiabank, and a network of partners, we have spent over 17 years delivering unparalleled rewards and experiences.

As we scale and evolve, our focus on innovation and technology is redefining what it means to be an iconic brand that prioritizes a member-centric experience. Data is not just a tool for us. It's the engine powering our growth strategy and our journey to becoming Canada’s most beloved loyalty program. We leverage it to provide personalized rewards and create meaningful connections with our members.

Joining Scene+ now means stepping into a role where your passion and skills can make a tangible impact on millions of members. With rewards for every lifestyle, we believe there’s always something to look forward to. Come be a part of our journey - create exceptional outcomes, collaborate across teams, and shape the future with us.

Who we need

Reporting to the Senior Manager, Data Engineering & Data Governance, we are hiring a Senior Data DevOps Engineer to support the reliability, deployment, and ongoing operation of our data platforms. In this role, you will design and maintain automated pipelines that move data solutions from development into production, with a strong focus on system stability, deployment management, monitoring, and recovery. You will partner closely with Data Engineering, Platform, BI & Data Science, and Security teams to enable consistent engineering practices and ensure our data systems are reliable, scalable, and well governed.

This job posting is for an existing vacancy that is a full-time, hybrid role working three days per week on site in our Toronto office.

What’s in it for you

Impact. You will operate within one of Canada’s largest customer ecosystems, with millions of members and multi-partner data flowing through the platforms you help build and operate. Your engineering decisions will directly shape how Scene+ understands loyalty behaviour, enables partner value, and scales its next phase of growth.

Ownership and influence. You will help define the blueprint for Scene+’s next-generation data platform, modernizing data practices, strengthening observability and incident response, improving lineage and metadata frameworks, and advancing engineering standards across the organization. You will own meaningful components of the platform and leave a lasting architectural and operational imprint.

Complex technical challenges at scale. You will work with massive datasets, rapidly evolving partners, and a data ecosystem undergoing significant expansion. This is an opportunity to solve complex, real-world problems at a national scale by designing resilient, automated, and secure systems that support the next wave of growth across Canada.

Accelerated professional growth. You will 10X your technical experience, gaining breadth and depth across cloud platforms, data transformation tools, orchestration patterns, CI/CD, and scalable architecture. You will gain visibility with senior leadership, lead complex technical discussions, and build the influence, communication, and architectural depth required to step into future technical or people-lead roles.

As our new Senior Data DevOps Engineer, you will:

• Enable reliable data platform operations. You will design, build, and maintain automated deployment and release processes for data platforms and data processing systems. This includes developing and supporting CI/CD workflows that move data solutions from development through testing to production in a reliable, repeatable way. You will also implement and manage infrastructure-as-code practices to provision and operate cloud-based data environments in an auditable and consistent manner, and manage version control, branching strategies, code promotion, and code review processes to support low-risk releases across environments.
• Ensure operational stability and observability. You will configure and support workflow scheduling and job orchestration systems to ensure dependable execution of data workloads. This role involves proactively monitoring data systems, identifying failures and performance issues, and supporting incident response, recovery, and root-cause analysis. You will apply infrastructure automation and configuration management practices to maintain reproducible environments, reduce manual intervention, and improve system resilience over time.
• Support secure and compliant data platforms. You will support data platform security, access controls, and compliance requirements in close partnership with security, privacy, and data governance teams. Operational practices must align with organizational controls and regulatory expectations, balancing deployment velocity with long-term platform reliability and risk management.
• Drive operational excellence through collaboration and