Senior Engineer, Data Engineering & Intelligence

A division of Publicis Groupe Publicis Digital Experience is a network of top-tier agencies designed to develop capabilities and solutions to enable growth and provide scaled access to the digital capabilities of Publicis Groupe in service of our clients. Together the Publicis Digital Experience portfolio endeavors to create value at the intersection of technology and experiences to connect brands and people.

Our model to transform every brand experience will help clients navigate develop and activate commerce in a way that will provide them with a future-proof model for modern marketing. With our unique expertise in consumer engagement CRM and commerce Publicis Digital Experience powers brands and empowers people in a new era of creativity. An ever-changing landscape and the need for fluid thinking is just part of our problem-solving nature. Which means were untethered from any specific medium or methodwe go where ideas will work best.

We are an expanding network with more than 5000 employees with agency brands throughout our global offices. Publicis Digital Experience brands include Razorfish Digitas Arc Worldwide Saatchi Saatchi X Plowshare 3Share and the Publicis Commerce Exchange.

As a Senior Engineer Data Engineering & Intelligence you will own the design development and maintenance of business intelligence capabilities with special focus on dbt SQL and Python as tools to create ETL pipelines. Youwill apply knowledge of data structures and pipelines to help drive the organizations data-driven decision making shape and re-design the data architecture champion automated workflows and enable insights that impact business outcomes.

• Independently conceptualize develop and document data pipeline architecture to support reporting tools.
• Own the creation of automated reporting backends with high levels of efficiency and accuracy in BigQuery.
• Maintain thorough expertise of the client data its nature and documentation.
• Collaborate effectively with cross-functional team members to understand data needs and develop meaningful solutions.
  • Drive the automation of repetitive workflows quality assurance and data processes to ensure accuracy and efficiency.

• Detail-oriented while keeping sight of the bigger picture.
• Fully proficient in SQL and Python.
• Prior experience in Google Cloud services such as BigQuery GCS Cloud SQL ML or similar Cloud services platforms.
• Experience independently building and optimizing data pipelines architectures and data sets.
• Extensive experience analyzing data to identify issues and inconsistencies.
• Passionate about innovation data and understanding consumer behavior.
• Excellent communication and interpersonal skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Proven hands-on expertise with version control software (Git) leveraging LLMs and writing technical documentation.
• Proficiency with dbt a strong plus.
• Ability to independently acquire new skills and master new tools.