Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

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.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.