Job Description
Publicis Media is looking for a talented Midweight Developer to join our growing TAAG team. In this role, you'll be instrumental in developing and maintaining our data infrastructure, ensuring the quality and integrity of data used for our clients' digital marketing campaigns.
Key Responsibilities
Manage and develop the team Design, develop, and implement data pipelines to ingest, transform, and store marketing data from various sources (ad servers, website analytics, CRM, etc.) Work alongside data analysts and strategists to understand data needs and design data models for optimal analysis Build and maintain server-to-server tagging solutions for accurate data collection, utilising JavaScript and tagging technologies Implement and manage cloud-based data warehousing solutions (e.g., AWS, GCP) for efficient and scalable data storage and processing Integrate with Google Analytics 4 (GA4) and other analytics platforms to ensure seamless data flow Collaborate with the team to explore and implement emerging AI solutions for enhanced data analysis and campaign optimisation Champion user privacy best practices, ensuring compliance with data regulations (GDPR, PECR) and user consent frameworks Stay abreast of the latest trends and innovations in digital data practices, participating in ongoing training programmesQualifications
To be successful in this role you will need:
Strong knowledge of JavaScript and framework (e.g., React, Node.js). Strong knowledge of Python, Java, or Scala. Strong understanding of data structures and algorithms. Solid understanding of SQL and data querying languages. Solid experience with cloud platforms (AWS, GCP, Azure) preferred. Curiosity about AI concepts (machine learning, artificial neural networks) a plus. Strong understanding of user privacy and consent regulations (e.g., GDPR, CCPA). A passion for learning and keeping up-to-date with the ever-changing digital data landscape Strong communication and collaboration skills, with the ability to thrive in a fast-paced agency environment. A passion for digital marketing and a desire to learn new technologies with a focus on ethical data practices and future-proofing marketing measurement. A keen interest in Artificial Intelligence (AI) and its applications in marketing dataThe latest news, articles, and resources, sent to your inbox weekly.
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