Senior Data Engineer

Company Description

Within Publicis Groupe’s Intelligent Creativity business, we specialize in bringing creative ideas to life, and to consumers. By combining 100 years of craft excellence with 6,000 experts across 52 locations of the world’s biggest studio network, we leverage the industry’s richest data, through the power of agentic AI, to radically redefine content production with Intelligent Content. We intuitively deliver this through Marcel Make, the world’s first Intelligent Content agent.

The result? Predictively performing content that unlocks business growth in unprecedented ways. No more guesswork. No more waste.

Just content that works, working a lot harder.

We are seeking a proactive and self-motivated Senior Data Engineer with a proven track record in building scalable cloud-based data solutions across multiple cloud platforms to support our work in architecting, building and maintaining the data infrastructure. The specific focus for this role will start with GCP however we require experience with Snowflake and Databricks also.

As a senior member within the data engineering space, you will play a pivotal role in designing scalable data pipelines, optimizing data workflows, and ensuring data availability and quality for production technology.

The ideal candidate brings deep technical expertise in AWS, GCP and/or Databricks alongside essential hands-on experience building pipelines in Python, analysing data requirements with SQL, and modern data engineering practices. Your ability to work across business and technology functions, drive strategic initiatives, and independently problem solve will be key to success in this role.

• Extensive experience in data engineering and solution delivery, with a strong track record of technical leadership.
• Deep understanding of data modeling, data warehousing concepts, and distributed systems.
• Excellent problem-solving skills and ability to progress with design, build and validate output data independently.
• Deep proficiency in Python (including PySpark), SQL, and cloud-based data engineering tools.
• Expertise in multiple cloud platforms (AWS, GCP, or Azure) and managing cloud-based data infrastructure.
• Strong background in database technologies (SQL Server, Redshift, Postgre
  
  SQL, Oracle).

Desirable

Skills:

• Familiarity with machine learning pipelines and MLOps practices.
• Additional experience with Databricks and specific AWS such as Glue, S3, Lambda
• Proficient in Git, CI/CD pipelines, and Dev Ops tools (e.g., Azure Dev Ops)
• Hands-on experience with web scraping, REST API integrations, and streaming data pipelines.
• Knowledge of JavaScript and front-end frameworks (e.g., React)

Diversity and inclusion is a core part of who we are at Publicis Production. We’re committed to building an inclusive culture that encourages, celebrates and supports our wonderfully diverse employee group – whatever their age, gender identity, race, sexual orientation, physical or mental ability or ethnicity. Diversity and inclusion doesn’t just fuel our creativity and innovation, it brings us closer to our people and audiences.

We will continue to strive to create a culture and environment where everyone feels empowered and more importantly comfortable enough to bring their full, authentic selves to work. We are committed to providing reasonable adjustments for employees with disabilities and for candidates in our application process. If you need assistance or adjustment due to a disability, please contact us.