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..Job Description

We are seeking an experienced and highly skilled Data Engineering Technical Lead to drive the design, development, and optimization of our cloud-based data platforms and solutions. This role will be a blend of hands on technical development, leading the engineering team and also input into design and strategy decisions. Initially there will be a focus on GCP but will also involve working extensively with Snowflake and Databricks, as well as other modern cloud and data engineering tools.As the technical leader for the data engineering function, you will define architectural standards, mentor engineers, and collaborate with cross-functional teams to ensure scalable, reliable, and high-performance data solutions. You will be responsible for guiding the evolution of our data infrastructure, enabling advanced analytics, and ensuring data quality and accessibility across the organization.The ideal candidate will have had essential hands-on experience building pipelines in Python, analysing data requirements with SQL, and modern data engineering practices and deep technical expertise in GCP, AWS and/or Databricks alongside experience of driving the team and inputting to the overall vision/strategy.Responsibilities

Provide technical leadership and mentorship to the data engineering team, driving best practices in architecture, development, and deploymentDesign and architect highly scalable, reliable, and secure data pipelines (batch and streaming) integrating internal and external data sources (APIs, streaming platforms, message queues, etc.)Collaborate with product, analytics, and engineering stakeholders to understand data requirements and design optimal solutionsDefine and enforce data quality, governance, and monitoring standards across the data platformOptimize the performance and scalability of ETL/ELT workflows and cloud-based data systemsOwn the roadmap for data infrastructure modernization, recommending new tools, technologies, and practices to improve efficiency and reliabilityAct as the primary escalation point for complex technical challenges, troubleshooting issues and ensuring system resilienceQualifications

ExperienceExtensive experience in data engineering, ideally in a technical leadership or lead roleProven track record designing and delivering enterprise-grade data platforms on GCP, AWS, or AzureDeep expertise in data modeling, data warehousing, distributed systems, and modern data lake architecturesAdvanced proficiency in Python (including PySpark) and SQL, with experience building scalable data pipelines and analytics workflowsStrong background in cloud-native data infrastructure (e.g., BigQuery, Redshift, Snowflake, Databricks)Demonstrated ability to lead teams, set technical direction, and collaborate effectively across business and technology functionsDesirable skillsFamiliarity with machine learning pipelines and MLOps practicesAdditional experience with Databricks and specific AWS such as Glue, S3, LambdaProficient in Git, CI/CD pipelines, and DevOps tools (e.g., Azure DevOps)Hands-on experience with web scraping, REST API integrations, and streaming data pipelinesKnowledge 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 Pagewhich showcases our Inclusive Benefits and our EAG’s (Employee Action Groups).

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