Senior Data Engineer

BRAND: Publicis Media
Job Function: Data Sciences
Location: London, United Kingdom
Experience Level: Management
Workplace Type: Hybrid

Company description

OVERVIEW
Publicis Groupe is one of the world's largest communications holding companies, present in over 110 countries and employing about 100,000 professionals.. The Groupe is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation.

HELPING OUR CLIENTS UNLOCK GROWTH IN THE PLATFORM WORLD
Our clients compete in the platform world, a horizontal marketplace between creators and consumers, between speakers and listeners, between buyers and sellers. To thrive in the platform world, companies must continue to innovate their products and business models. Four imperatives (1. Real Identity, 2. Dynamic, Diverse and Disruptive Creativity 3., Smart Media and 4. Direct Relationships) via our suite of world-class agencies, are necessary for modern brands to win in the platform world. At Publicis Groupe, we've invested in capabilities across these four imperatives our clients need to unlock growth. As the only one who can architect, build and orchestrate end to end solutions, not only do we have a proven record of building bespoke models for clients and leading expertise across all major industry categories, we are able to offer our talents more opportunities to grow and benefit from a richer learning experience. We call this Power of One. Powered by a 100,000-strong network via Marcel, our AI-based platform, we are also able to provide our clients and talents instant access to resource, knowledge for any need, any time, in any market.

THE SPIRIT OF VIVA LA DIFFERENCE
Viva La Difference is deeply rooted in everything we do. It has always been in our DNA. From the birth of Publicis, 94 years ago, when Marcel Bleustein-Blanchet, our founder, invented French advertising. Viva La Difference expresses how we value and respect each individual and recognize what makes us distinctive. This is the charge that inspires our teams to celebrate the differences in identity, background, culture, and experience of all of us. It is how we behave with each other and our clients, and it is deeply rooted throughout our work, to elevate and bring to life our differences throughout the platform world..

Overview

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.

Responsibilities

• Architect and maintain robust data pipelines (batch and streaming) integrating internal and external data sources (APIs, structured streaming, message queues etc.)
• Collaborate with data analysts, scientists, and software engineers to understand data needs and develop solutions
• Understand requirements from operations and product to ensure data and reporting needs are met
• Implement data quality checks, data governance practices, and monitoring systems to ensure reliable and trustworthy data
• Optimize performance of ETL/ELT workflows and improve infrastructure scalability

Qualifications

Experience

• Relevant 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, PostgreSQL, 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 DevOps tools (e.g., Azure DevOps)
• Hands-on experience with web scraping, REST API integrations, and streaming data pipelines
• Knowledge of JavaScript and front-end frameworks (e.g., React)

Additional information

Publicis Groupe operates a hybrid working pattern with full time employees being office-based three days during the working week.

We are supportive of all candidates and are committed to providing a fair assessment process. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medical condition) that may affect your assessment, please inform your Talent Acquisition Partner. We will discuss possible adjustments to ensure fairness. Rest assured, disclosing this information will not impact your treatment in our process.

Please make sure you check out the Publicis Career Page which showcases our Inclusive Benefits and our EAG's (Employee Action Groups).