Dailymotion is seeking an Analytics Engineer to join our Analytics team within the Data department. This cross-functional team—composed of Data Product Managers, Analysts, and Analytics Engineers—is responsible for a wide range of analytics products: from internal and client-facing insights, to data quality frameworks, and end-to-end pipelines. Our mission: Build a modern data ecosystem that empowers autonomous, data-driven decisions and drives value across all products and business units.

As an Analytics Engineer, you’ll work at the intersection of software engineering and data analytics to design, build, and maintain scalable data products. You’ll translate functional needs into high-quality, reusable data solutions that power both internal operations and client-facing services.

This role offers the opportunity to make a company-wide impact, contributing to meaningful challenges in a dynamic environment. You’ll help shape Dailymotion’s data culture and support the ecosystem that drives decision-making across the business.

Your responsibilities:

• Collaborate with cross-functional teams (Data PMs, Analysts, Engineers, Business & Product stakeholders) to understand needs, define data requirements, and deliver relevant data products.
• Develop and optimize complex SQL transformations to model raw data into trusted business entities and aggregated metrics for reporting and analysis.
• Own and continuously improve analytics pipelines, from ingestion to transformation and data delivery.
• Ensure data quality, reliability, scalability, and performance across all data products, using monitoring and cost-efficient practices.
• Document and catalog business concepts (datamarts, dimensions, metrics, business rules) to support data discoverability and governance.
• Act as a subject matter expert on our core datasets, and coach internal users on analytics best practices and SQL usage.
• Contribute to Dailymotion’s AI and advanced analytics strategy by testing new tools, proposing innovative processes, and exploring emerging technologies.

Our Stack

You’ll work in a modern data environment powered by Google Cloud Platform, including:

• DataLake: BigQuery
• Orchestration: Airflow
• Containerization & Deployment: Docker, Kubernetes, JenkinsX
• Data Modeling & Transformation: SQL, dbt
• Data Quality & Observability: Sifflet
• Data discoverability: Coalesce Catalog
• BI / Reporting: Looker, LookerStudio, Amplitude

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

• Start Date: Asap

• Contract Type: CDI

🔍Want to learn more about us:

• Dailymotion.com

• New-York office - BuiltIn

• Offices in France - Welcome to the Jungle

• Our articles  

For the France offices :

🏡Hybrid Work Framework, depending especially on the needs of your position.

💰 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

• 3 years of experience in data analytics or analytics engineering.
• Strong interest in the business side of data (e.g., product, finance, sales).
• Solid experience with SQL and data modeling best practices  (star, snowflake, medallion)
• Hands-on experience in building, maintaining, and optimizing analytics pipelines.
• Familiarity with cloud data platforms, especially BigQuery.
• Ability to draft technical specifications and propose scalable, efficient solutions.
• Experience in monitoring data quality, investigating anomalies and implementing effecitve observability solutions.
• Proficient in at least one programming language such as Python, Golang (preferred), or Java.
• Strong communication and collaboration skills, with a team-first mindset.
• Fluent in English.

If you meet these qualifications and are passionate about leveraging data to drive insights and innovation, we encourage you to apply.