Company descriptionPublicis Production harnesses the power of Publicis Groupe's entire global production capabilities. Through our family of production brands, we access best-in-class production talent, models and technology worldwide. Our purpose is to deliver seamless, relevant and impactful consumer experiences across every touchpoint in every market. We do this with pioneering production solutions that drive performance in a data-led marketing landscape and help brands to win in the platform world.OverviewWe 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.ResponsibilitiesProvide 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 resilienceQualificationsExperienceExtensive 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 informationDiversity and inclusion is a core part of who we are at Prodigious London. 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. #J-18808-Ljbffr