Offer summary

Qualifications:

At least 3 years of experience in data engineering or related roles., Proficiency in Python or similar programming languages., Strong knowledge of SQL and Linux environments., Experience with building and testing production data pipelines..

Key responsibilities:

Design and maintain scalable data pipelines for media data.

Collaborate with teams to optimize workflows and develop automation tools.

Ensure data pipeline reliability through testing and monitoring.

Work with cross-functional teams to deliver data solutions and resolve complex data issues.

Job description

Description

Position at DNEG

Brahma is a pioneering enterprise AI company developing Astras, AI-native products built to help enterprises and creators innovate at scale. Brahma enables teams to break creative bottlenecks, accelerate storytelling, and deliver standout content with speed and efficiency. Part of the DNEG Group, Brahma brings together Hollywood’s leading creative technologists, innovators in AI and Generative AI, and thought leaders in the ethical creation of AI content.

Job Description

As a Data Engineer, you’ll architect and maintain the pipelines that power our products and services. You’ll work at the intersection of ML, media processing, and infrastructure; owning the data tooling and automation layer that enables scalable, high-quality training and inference. If you’re a developer who loves solving tough problems and building efficient systems, we want you on our team.

Key Responsibilities

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.

Must Haves

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.

Nice to Have

Experience with Kubernetes (k8s).
Knowledge of machine learning or AI concepts.
Familiarity with ETL tools or big data frameworks.
Familiarity with cloud platforms (e.g., AWS, GCP, Azure).

About You

Innovative
Like challenges
Adaptable
Calm under pressure
Strong communication abilities

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!

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