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Senior Data Engineer, Platform

Job in New York, New York County, New York, 10261, USA
Listing for: UNAVAILABLE
Full Time position
Listed on 2026-01-17
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 121000 - 153000 USD Yearly USD 121000.00 153000.00 YEAR
Job Description & How to Apply Below
Location: New York

Company Description

Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals.

Job Description

About Publicis Media:

Publicis Media is one of Publicis Groupe’s four solution hubs, aligning all of Publicis Groupe’s media agencies and operations. Publicis Groupe (Euronext Paris Exchange: FR; CAC 40 index), is the world’s third largest communications group. The Data, Technology and Innovation Global Practice was created to deliver best-in-class programmatic solutions as well as to consolidate Publicis Media’s data and technology to transform our business from a service business to a platform business.

We are seeking a hands-on Data Engineer with strong SQL and Python skills who can build, optimize, and automate data pipelines and analytics-ready data models. This role is primarily focused on data engineering for reporting and analytics, with a secondary emphasis on platform reliability, observability, and cost optimization in cloud-based data environments.

This is an individual contributor role focused primarily on hands-on development, including building and optimizing scalable data pipelines and models. A portion of the role involves supporting production systems through observability, reliability improvements, and platform continuity.

Responsibilities
  • Design, build, and optimize high-performance SQL queries for analytics and reporting use cases
  • Develop and maintain fact and dimension data models (star schemas, shared dimensions)
  • Write reusable, dynamic SQL logic, including views and stored procedures
  • Build and maintain Python-based ETL/ELT pipelines for data ingestion, transformation, and delivery
  • Implement scalable, maintainable pipeline patterns including logging, error handling, and automation
  • Partner with analytics and business teams to translate requirements into efficient data models
  • Contribute to platform reliability and continuity across AWS and Databricks data environments
  • Improve observability for data pipelines through logging, metrics, and alerting
  • Support performance tuning and cost optimization for data workloads in AWS, Self hosted SQL server, Redshift, and Databricks
  • Assist with auditing, access controls, and data governance across data platforms using automation.
  • Participate in root-cause analysis and reliability improvements for data pipeline failures
  • Collaborate with cloud and infrastructure teams to improve performance and stability of data platforms
Qualifications
  • 3+ years of experience in data engineering, analytics engineering, or BI engineering roles
  • Strong SQL expertise, including complex joins, CTEs, window functions, and performance tuning
  • Proven experience with dimensional data modeling for analytics and reporting
  • Strong Python skills for building data pipelines and automation workflows
  • Hands-on experience with relational databases such as SQL Server or Amazon Redshift
  • Ability to design scalable and cost-aware data solutions
  • Nice to have skills:
  • Experience with AWS data services (S3, Glue, Lambda, Redshift)
  • Exposure to Databricks or Spark-based data platforms
  • Familiarity with BI and analytics tools such as Tableau or Alteryx
  • Experience supporting analytics teams or reporting-focused data products
Additional Information

Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our…

Position Requirements
10+ Years work experience
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