Senior Data DevOps Engineer

Toronto - Hybrid, ON, Canada

Full Time

Data Engineering

Mid Level

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 communication. You will define and maintain operational standards, documentation, and runbooks that support consistent platform operations and effective knowledge sharing. Close collaboration with data engineers, platform teams, and business stakeholders will be key to continuously improving reliability, performance, and deployment practices. You will communicate technical processes, risks, and changes clearly to both technical and non-technical audiences, helping teams make informed decisions while balancing speed, stability, and long-term sustainability.

You bring:

The data DevOps expertise. You bring experience as an individual contributor within Data Engineering or Platform Engineering environments. Your background includes proven success in DevOps or Data DevOps Engineer roles supporting data platforms, deployment pipelines, and data operations. Along the way, you have developed strong, practical knowledge of data governance, access control, security, and compliance, as well as hands-on experience with source control systems, GitHub workflows, and deployment automation.
A strong engineering mindset. You set a high bar for engineering quality and demonstrate a strong command of modern Data DevOps practices, with confidence designing end-to-end solutions, improving CI/CD processes, and applying best-in-class development patterns.
The technical skills. You have excellent engineering skills with experience supporting cloud-based data platforms (AWS preferred; Azure or GCP), analytical data platforms and data processing systems (Snowflake, or similar). You are proficient in scripting or programming languages used for automation and operational tasks (Python or similar) and have experience with CI/CD pipelines for data or platform workloads. Experience with infrastructure-as-code tools and practices is essential, as is familiarity with workflow scheduling or job orchestration systems (e.g., Airflow or similar).
The project management skills. You can manage multiple projects simultaneously, overseeing scope, expectations, and timelines. You communicate proactively, identify risks early, and keep teams aligned. You can adapt plans, respond to evolving business needs, and consistently deliver high-quality work in a dynamic environment.
The leadership skills. You are an engineering leader who thrives in complex, high-scale environments. You have experience providing technical guidance, support, or mentoring within an engineering or operations team. You are a proven partner and collaborator who can influence without authority, elevate technical decisions, and help shape the culture of engineering excellence. You can build trust quickly, communicate with clarity, and bring an analytical, solutions-focused mindset to every challenge. You demonstrate the capability and ambition to grow into a leadership role, while excelling as a senior technical contributor who raises the performance of the entire team.

Compensation

At Scene+, we believe that compensation should be transparent, fair, and market competitive. Our salary ranges are designed to represent the progression from learning the role to truly mastering it.

This role has a minimum base salary of $85K, and a maximum base salary of $110K. Our approach to compensation supports each person’s unique knowledge, skills, abilities, complexity of the role and balances it with internal equity to support a fair and competitive salary. The higher end of the range is reserved for those who have demonstrated deep expertise, while offers closer to the minimum reflect strong potential with room to develop.

Base salary is just one part of our total rewards package which also includes, health and wellness benefits, employer-matched RRSP savings, a performance-based bonus program, and many more perks including free movies and free grocery delivery!

Join us.

We are a dynamic and agile organization that works collaboratively to anticipate and meet the business needs of our partners and the lifestyle needs of our members. People who thrive at Scene+ are mission-driven and eager to contribute to a brand that’s shaping the future of loyalty. As part of our team, you will excel in an environment that values ownership and practical, intelligent solutions. You will have the chance to create and refine processes, identify and address challenges with scalable solutions, and introduce best practices that drive our success.

Our values guide our work, and we consistently measure our progress against these principles.

Member Focus: We prioritize the needs and experiences of our members in everything we do.
Teamwork: We believe in the power of collaboration and working together to achieve our goals.
Continuous Improvement: We strive for excellence by constantly seeking ways to improve and innovate.
Integrity: We uphold the highest standards of honesty and transparency in our actions.
Results Driven: We are committed to achieving outstanding outcomes and delivering value.
Passion: We are passionate about our work and dedicated to making a positive impact.

What you can expect from our interview process:

A virtual interview with a Talent Advisor discussing your interest in the role and the company. The conversation will be recorded using BrightHire, an AI-powered video interview tool. More details will be shared when you are invited to interview.
A technical assessment is to be completed in advance of the next stage.
An in-person interview with the Senior Manager, Data Engineering and Data Governance. This conversation will focus on your technical depth, hands-on experience with data pipelines, governance practices, and your approach to building scalable, reliable solutions.
A virtual interview with the Director of Analytics. You will explore how you partner with cross-functional stakeholders, translate business needs into data solutions, and contribute to broader analytics strategy.
A virtual interview with the SVP, Analytics and Operations. This will be an opportunity to ask higher-level questions about the team’s vision and the company’s priorities.

Apply now.

If you have 70% of what we're looking for and 100% authenticity and passion, express your interest here. Please contact us by email at [email protected] and let us know what accommodations or assistance we can provide you during the application process.

At Scene+, we're committed to diversity, equity, and inclusion. We strive to integrate these values into everything we do, from our partners and offers to our teams and interactions. We welcome and appreciate candidates from diverse backgrounds, including women, persons with disabilities, Black, Indigenous and People of Colour (BIPOC), the LGBTQ2SIA+ community, and other equity-seeking groups.

How we use AI in our interview process:

At this time, we do not use artificial intelligence (AI) tools to screen, assess or select applicants. For video interviews, we may use BrightHire, an AI-powered video interview tool, for recording purposes.

#LI-Hybrid
#LI-DNI

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Help us maintain an inclusive culture.

We want anyone, anywhere to have the same chance and opportunity to build a life they love and that they are proud of. We are proactive in creating a belonging environment that anyone can be a part of. Thoughtful, data-driven decision-making is core to this success. We ask these questions to strengthen our practices by using data to identify and mitigate unconscious bias in our hiring process.

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1.) Indigenous peoples: Based on the definition below, are you an Indigenous person?
"Indigenous peoples" means First Nations, Inuit or Métis peoples of Canada.*

2.) Persons with disabilities: Based on the definition below, are you a person with a disability?
"Persons with disabilities" are individuals who have a long-term or recurring physical, mental, sensory, psychiatric, or learning impairment, and who consider themselves to be disadvantaged in employment by reason of that impairment, or believe that an employer or potential employer is likely to consider them to be disadvantaged in employment by reason of that impairment. This includes persons whose functional limitations owing to their impairment have been accommodated in their current job or workplace.*

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9.) Have you used GitHub (or similar) for source control, workflows, and deployment automation?*

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