TAAG Developer

Publicis Media

London

1 year ago

Applications closed

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 programmes

Qualifications

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 data

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 2, 2026

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Jan 23, 2026

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jan 18, 2026

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.