Data Engineer

• Design and maintain scalable pipelines for ingesting, processing, and validating datasets with main focus visual and voice data.
• Work with other teams to identify workflow optimisation potential, design and develop automation tools, using AI-driven tools and custom model integrations and scripts.
• Write and maintain tests for pipeline reliability.
• Build and maintain observability tooling in collaboration with other engineers to track data pipeline health and system performance.
• Collaborate with data scientists, operators, and product teams to deliver data solutions.
• Debug and resolve complex data issues to ensure system performance.
• Optimise storage, retrieval, and caching strategies for large media assets across environments.
• Deploy scalable data infrastructure using cloud platforms as well as on-premise and containerization.
• Deepen your knowledge of machine learning workflows to support AI projects.
• Stay current with industry trends and integrate modern tools into our stack.

• 3+ years in data engineering or related backend/infrastructure role.
• Strong programming skills in Python or similar languages.
• Experience with software development lifecycle (SDLC) and CI/CD pipelines.
• Proven experience building and testing data pipelines in production.
• Proficiency in Linux.
• Solid SQL knowledge.
• Experience with Docker or other containerisation technologies.
• Proactive approach to solving complex technical challenges.
• Passion for system optimisation and continuous learning.
• Ability to adapt solutions for multimedia data workflows.

About Us
We are DNEG, one of the world’s leading visual effects and animation companies for the creation of award-winning feature film, television, and multiplatform content. We employ more than 9,000 people with worldwide offices and studios across North America (Los Angeles, Montréal, Toronto, Vancouver), Europe (London), Asia (Bangalore, Mohali, Chennai, Mumbai) and Australia (Sydney).

At DNEG, we fundamentally believe that embracing our differences is a vital component of our collective success. We are committed to creating an equitable, diverse and inclusive work environment for our global teams, where everyone feels they matter and belong. We welcome and encourage applications from all, regardless of background, experience or disability. Please let us know if you need any adjustments or support during the application process, we will do our best to accommodate your needs. We look forward to meeting you!