Consultant

Who We Are

WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients’ businesses. VML, part of WPP, supports WPP Enterprise Solutions by helping brands activate transformation through creativity and experience.

The opportunity

Must-Have Skills 
• Front-end engineering: Strong hands-on experience with HTML5, CSS3, JavaScript ES6+, and at least one modern framework such as React, Angular, or Vue.js. Working knowledge of TypeScript, responsive design, cross-browser compatibility, and templating is a plus. 
• Back-end engineering: Solid server-side development experience in one or more technologies such as Java with Spring or Spring Boot, Python with Django, Flask, or FastAPI, Node.js with Express, or .NET/C#. Experience should include building, securing, and consuming services. 
• API-first development: Hands-on experience designing and integrating REST APIs and webhooks, working with JSON or XML payloads, using token-based or OAuth authentication, and validating APIs with tools such as Postman, Insomnia, or Swagger. 
• SQL, scripting, and automation: Strong proficiency in SQL and at least one scripting language, preferably Python or JavaScript, for data manipulation, transformation, automation, and troubleshooting. 
• Database expertise: Strong command of at least one major database platform such as SQL Server, Oracle, Teradata, PostgreSQL, MySQL, or a similar system, including writing and optimizing complex queries. 
• ETL and data integration: Practical experience building extract, transform, and load pipelines and integrating data across multiple source and target systems. 
• Data modelling: Ability to design and work with relational and marketing data models, including querying datasets, creating joins and aggregates, applying filters, defining keys, and setting indexes. 
• Learning agility: Demonstrated ability and eagerness to quickly learn, adapt, and become productive on a new enterprise marketing platform. 
• Problem solving: Strong analytical and debugging skills with a structured approach to troubleshooting across user interface, services, integration, and data layers.

• Communication: Ability to interact with customers independently, communicate with clarity and