Senior Data Engineer (All Genders)

Job summary
Permanent contract
Issy-les-Moulineaux
Salary: Not specified
Experience: > 4 years
Skills & expertise
Communication skills
Mentoring
Collaboration and teamwork
Java
Tensorflow
+7
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Dailymotion SA
Dailymotion SA

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Questions and answers about the job

The position

Job description

We are seeking a highly skilled Senior Data Engineer to join our dynamic Data & AI Engineering team. In this role, you will design, build, and optimize large-scale data pipelines and APIs supporting advanced data products—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, enabling data-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 & Optimize Data Pipelines:  Architect, implement, and manage robust, scalable data pipelines that process petabytes of data using GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.) or AWS similar technology stack.
  • API Development for Data Products: Build and maintain APIs powering data products 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 optimize data workflows 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 impactful data solutions that drive business outcomes.
  • Mentorship: Provide technical guidance and mentorship to junior engineers and promote best practices in data engineering.

 

Additional Information

Dailymotion is proud to be an equal employment opportunity and affirmative action employer. We value inclusion and we want you to help us thrive for a more diverse community.

All our job offers are open to people with disabilities or impairments, and we actively encourage everyone to apply. If you have any accessibility needs or require any accommodations for the hiring process, please let us know in advance so that we can make any necessary arrangements.

  • Location: Issy-les-Moulineaux

  • Contract Type: CDI

🔍Want to learn more about us:

For the France offices :

🏡Hybrid Work Framework, depending especially on the needs of your position, ability to work 3 months abroad

💰 Saving Plan Canal +

🍼  Paternity leave or Coparental leave extended 

🕶️  Living Employee Culture (Events/Trainings/Parties/All hands,…) 

🚀  Career development support (training/internal mobility/compensation cycle/360 feedback review …)

🏥  High-end Health Insurance and Personal Services Vouchers (CESU)

⛱️  Paid Time off – RTT and Saving time plan (CET)

✅  Meal Vouchers – Public Transport and Bike refund 

🎡 European Economic and Social Committee (sport membership/cinemas vouchers/gift vouchers/discount) 

⚽Fitness Subscription thanks to our partnership with Gymlib


Preferred experience

  • Requirements:

    5+ years of experience in data engineering or a related field.

    Proven experience designing and operating large-scale data pipelines (preferably processing petabytes of data).

    Strong expertise in GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.) and experience with AWS data services.

    Proficiency in Python, SQL, and one or more languages for backend/API development (e.g., Go, Java, Node.js).

    Experience building and deploying APIs for data products, especially those integrating ML/AI models.

    Familiarity with modern data orchestration frameworks (e.g., Airflow, Dagster, Prefect).

    Experience working with video data and/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,..)

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