Lead Analytics Engineer (All Genders)

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Our stack runs almost exclusively on Google Cloud Platform. You will work with technologies such as Data Lakes (BigQuery, etc.), orchestration and scheduling platforms (Airflow), containerized deployment (Docker, K8S, JenkinsX), SQL, and Data Quality Tools (DBT, Sifflet). You will also participate in data modeling activities and design of data flows until their implementation and support in production. - Define and implement the technical vision for analytics engineering, aligning with organizational goals. - Lead the design, development and optimization of analytics pipelines and data models to support high-impact business needs. - Provide leadership and guidance to the analytics engineering team, fostering a culture of collaboration, growth and innovation. - Partner with cross-functional teams (Business Insights, Product, Engineering) to gather requirements and deliver actionable insights. - Establish and enforce best practices for data quality, pipeline reliability and system performance. - Oversee the cataloging of data entities, dimensions and metrics while promoting consistent usage across the organization - Drive the adoption of emerging technologies and tools, ensuring the team stays at the forefront of analytics engineering industry Monitor and optimize the cost of data infrastructure, ensuring efficient resource usage

compétences

- 7+ years in data analytics or a related field, with at least 2 years in a leadership role. - Proven track record of leading technical projects, defining strategies, and delivering results. - Experience managing and mentoring engineering teams, with the ability to foster a collaborative and high-performing environment. - Strong capability in designing, optimizing, and executing complex SQL queries. - Proficiency in at least one programming language (Python, Golang preferred, or Java), with a focus on reusable and scalable code. - Deep knowledge of data modeling techniques (e.g., star, snowflake, medallion) and their practical applications. - Advanced experience with platforms such as BigQuery or Snowflake, including cost optimization strategies. - Proven ability to implement data quality frameworks and troubleshoot complex data discrepancies. - Strong interpersonal skills to engage with stakeholders, translate business needs into technical solutions, and ensure alignment. - Demonstrated ability to evaluate, adopt, and champion new tools and technologies. - Expert in optimizing the efficiency, scalability, and cost of data systems.

entreprise

Dailymotion is more than a video application, it’s a visual conversation in motion, based on a unique algorithm designed to broaden users’ horizons instead of locking them in their own bubbles. We bring nuance to the debates that animate young people and put listening, discovery, and kindness back at the heart of interactions to help build a better and safer Internet.

conditions de travail

What we offer you: • Additional opportunities as we grow and learn together. • Join our open, collaborative culture. • Exciting, dynamic projects to work on. • Flexibility. For the France offices - Hybrid Work Framework Flexible - Paternity leave or Coparental leave extended Living Employee Culture (Events / Trainings / Partys / All hands / Dailymotion tradition…) - Career development support (training / internal mobility / compensation cycle / 360 quarter 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)

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