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

• 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

• 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.
• Own meaningful components of the platform and leave a lasting architectural and operational imprint.

Complex technical challenges at scale

• Work with massive datasets, rapidly evolving partners, and a data ecosystem undergoing significant expansion.
• 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

• 10X your technical experience, gaining breadth and depth across cloud platforms, data transformation tools, orchestration patterns, CI/CD, and scalable architecture.
• 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.

Responsibilities

• Enable reliable data platform operations

  • Design, build, and maintain automated deployment and release processes for data platforms and data processing systems.
  • Develop and support CI/CD workflows that move data solutions from development through testing to production in a reliable, repeatable way.
  • Implement and manage infrastructure‑as‑code practices to provision and operate cloud‑based data environments in an auditable and consistent manner.
  • Manage version control, branching strategies, code promotion, and code review processes to support low‑risk releases across environments.

• Ensure operational stability and observability

  • Configure and support workflow scheduling and job orchestration systems to ensure dependable execution of data workloads.
  • Proactively monitor data systems, identify failures and performance issues, and support incident response, recovery, and root‑cause analysis.
  • 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

  • Support data platform security, access controls, and compliance requirements in close partnership with security, privacy, and data governance teams.
  • Align operational practices with organizational controls and regulatory expectations, balancing deployment velocity with long‑term platform reliability and risk management.

• Drive operational excellence through collaboration and communication

  • Define and maintain operational standards, documentation, and runbooks that support consistent platform operations and effective knowledge sharing.
  • Collaborate closely with data engineers, platform teams, and business stakeholders to continuously improve reliability, performance, and deployment practices.
  • 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

• Experience as an individual contributor within Data Engineering or Platform Engineering environments.
• Proven success in DevOps or Data DevOps Engineer roles supporting data platforms, deployment pipelines, and data operations.
• Strong, practical knowledge of data governance, access control, security, and compliance, plus hands‑on experience with source control systems, GitHub workflows, and deployment automation.

A strong engineering mindset

• Set a high bar for engineering quality and demonstrate a strong command of modern Data DevOps practices.
• Confidence designing end‑to‑end solutions, improving CI/CD processes, and applying best‑in‑class development patterns.

The technical skills

• Excellent engineering skills with experience supporting cloud‑based data platforms (AWS preferred; Azure or GCP).
• Experience with analytical data platforms and data processing systems (Snowflake, or similar).
• Proficiency in scripting or programming languages used for automation and operational tasks (Python or similar).
• Experience with CI/CD pipelines for data or platform workloads.
• Experience with infrastructure‑as‑code tools and practices.
• Familiarity with workflow scheduling or job orchestration systems (e.g., Airflow or similar).

The project management skills

• Ability to manage multiple projects simultaneously, overseeing scope, expectations, and timelines.
• Proactive communication, early risk identification, and keeping teams aligned.
• Adaptable planning, responsive to evolving business needs, and consistent delivery of high‑quality work in a dynamic environment.

The leadership skills

• Engineering leader who thrives in complex, high‑scale environments.
• Experience providing technical guidance, support, or mentoring within an engineering or operations team.
• Proven partner and collaborator who can influence without authority, elevate technical decisions, and help shape a culture of engineering excellence.
• Ability to build trust quickly, communicate with clarity, and bring an analytical, solutions‑focused mindset to every challenge.
• Demonstrated capability and ambition to grow into a leadership role while excelling as a senior technical contributor.

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.

• Higher end of the range is reserved for those who have demonstrated deep expertise.
• 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!

Our values

• 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

1. 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.

2. Technical assessment to be completed in advance of the next stage.

3. In‑person interview with the Senior Manager, Data Engineering and Data Governance and the Lead Data Engineer – focus on technical depth, hands‑on experience with data pipelines, governance practices, and your approach to building scalable, reliable solutions.

4. Virtual interview with the Director of Analytics – explore how you partner with cross‑functional stakeholders, translate business needs into data solutions, and contribute to broader analytics strategy.

5. In‑person interview with the SVP, Analytics and Operations – 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 careers@scene.ca and let us know what accommodations or assistance we can provide you during the application process.

Diversity, equity, and inclusion

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 Powered by JazzHR