Senior Data Engineer All Genders H/F - Dailymotion

Dailymotion is more than a video app, IT's a visual conversation in motion, based on a unique algorithm designed to broaden users' horizons. Dailymotion brings nuance to the debates that animate young people and puts listening, discovery, and kindness back at the heart of interactions to help build a better and safer Internet.

Dailymotion is also "Dailymotion Pro", a video hosting and broadcasting solution for professionals in all sectors; and "Dailymotion Advertising", a powerful, proprietary video advertising platform, offering a high-quality, secure environment for brands.

Our team is made up of 400 people in France, New York, and Singapore, all united by the same ambition : to visibly shake up the global video platform ecosystem.

At Dailymotion, our team of talented individuals from over 40 nationalities embraces four core values every day :
- Opening Perspectives : We love connecting different ideas and people, supporting freedom of speech, and inclusivity, and celebrating diverse cultures.
- Making Bold Moves : We're daring and ambitious, ready to take unique steps that bring noticeable improvements to our platform.
- Building a Safer World : Empathy guides us. We care deeply about each other and are dedicated to creating a safe and supportive community.
- Creating Meaning : We spark curiosity and joy in everything we do, feeling proud of our work and eager to share that fulfillment with everyone.

Our team comprises 400 people in France, New York, and Singapore, all united by the same ambition : to shake up the global video platform ecosystem visibly.We are seeking a highly skilled SeniorDataEngineer to join our dynamicData& AI Engineering team. In this role, you will design, build, and optimize large-scaledatapipelines and APIs supporting advanceddataproducts-including Machine Learning and AI-powered models. You will primarily work on Google Cloud Platform (GCP), with additional projects leveraging AWS.

Our ideal candidate is passionate about building scalable systems, enablingdata-driven products (such as recommendation engines, search engines or Programmatic yield optimization algorithms), and innovating with AI (for e.g. to understand and generate videos).

Missions :
- Design, Develop & OptimizeDataPipelines : Architect, implement, and manage robust, scalabledatapipelines that process petabytes ofdatausing GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.) or AWS similar technology stack.
- API Development forDataProducts : Build and maintain APIs poweringdataproducts and services, with a focus on integration with Machine Learning and AI models (e.g., recommendation engines, AdTech optimization engines).
- Collaborate on AI & Video Innovation : Work closely with Video motion designers and Product Managers to leverage AI for the analysis, enrichment, and generation of video content, pushing the boundaries of what's possible in video understanding and creation.
- Performance & Cost Optimization : Continuously monitor, and optimizedataworkflows for both speed and cost efficiency at massive scale.
- Cross-functional Collaboration : Partner with product managers, ML engineers, backend engineers and other stakeholders to deliver impactfuldatasolutions that drive business outcomes.
- Mentorship : Provide technical guidance and mentorship to junior engineers and promote best practices indataengineering.

- Requirements :
5+ years of experience indataengineering or a related field.
Proven experience designing and operating large-scaledatapipelines (preferably processing petabytes ofdata).
Strong expertise in GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.) and experience with AWSdataservices.
Proficiency in Python, SQL, and one or more languages for backend/API development (e.g., GO, Java, Node.js).
Experience building and deploying APIs fordataproducts, especially those integrating ML/AI models.
Familiarity with moderndataorchestration frameworks (e.g., Airflow, Dagster, Prefect).
Experience working with videodataand/or media pipelines is a strong plus.
Strong communication skills and a collaborative mindset.

Nice to Have :
Experience with AdTech or recommendation systems.
Knowledge of MLOPS and model serving in production environments.
Familiarity with AI/ML frameworks (TensorFlow, PyTorch, etc.) and video analysis/generation techniques (Sora, Veo,...)