Data Engineer, Global Client Solutions

wppmedia · Londonmid

In short

▸Ingeniero de datos que trabaja con IA y machine learning para resolver problemas de planificación mediática.
▸Día a día: limpia, procesa y conecta datos para generar insights accionables para clientes globales.
▸Destacado: Trabajas con datos propios y de clientes, incluyendo paneles de comportamiento y web scraping.

Proficiency in English is required.

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What they ask for

✓Experiencia en ingeniería de datos con procesamiento de grandes volúmenes de datos.
✓Conocimiento en Python y SQL para manipulación y análisis de datos.
✓Experiencia con herramientas de orquestación de pipelines (como Airflow).
✓Capacidad para colaborar con científicos de datos y equipos no técnicos.
✓Interés en machine learning y producción de modelos.
✓Flexibilidad y curiosidad para trabajar en múltiples casos de uso y dominios.

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PythonSQLAirflowAWSGoogle Cloud PlatformDockerGitJupyterREST APIsML frameworks (no especificado

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About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com . 2900 – Data Engineer - GCS Role Summary and Impact About WPP Media Global Client Solutions WPP Media's Global client teams are organised within a centralised squad based in London. A critical part of that is the WPP Media Global 'Strategy and Capabilities' team - a unit of 160 specialists focused on industry leading Strategic Planning, Insights and Innovation, working across WPP's global clients including Nestlé, Coca Cola, Danone, Unilever, AirBnB, Ford, Adidas, IKEA, L'Oreal and more. We operate at the forefront of the industry, collaborating seamlessly across WPP's ecosystem of experts to deliver integrated strategies and drive tangible business outcomes. We believe in the power of media to transform businesses and connect deeply with consumers. WPP Media is looking for a Data Engineer with interest in machine learning (ML) engineering, as well as the productionisation and optimization of ML models to join our Global Data Strategy & Insights team. While operating within our team you will be asked to use our proprietary and/or client data along with ML techniques to help answer client questions around audiences like: ‘which audience should I be advertising to?’, ‘how should my strategy be different when approaching this audience?’, ‘how is does my media plan need to change across geographies?’. You will also be assisting our team in developing products to help both our global and local teams with day-to-day media planning. This reaches from hypothesis testing, data experiments, and predictive and prescriptive analysis. In this role, you will have the opportunity to collaborate with other data scientists and engineers (e.g. in our Analytics team) with experience and expertise in a wide range of methodologies, toolkits and applications to a variety of problems in the media landscape. This reaches from data engineering, setting and defining best practices and scaling ML POCs. You will also be collaborating with strategists, insights specialists and non-technical stakeholders to ensure the data structures align with the client use case and specifications. The ideal candidate would be curious, flexible and passionate about using data science/ML as a tool to understand human behaviour, campaign effectiveness and business dynamics. We are a data agnostic team that believe the key to success is not just having access to different types of data (market research, surveys, online behavioural panels, site data, targeted web-scraping) but finding new, innovative ways to connect and analyse the data we have access to, to deliver real, actionable, insight for our clients. Key responsibilities for this position include: • Using data engineering techniques to clean, process and re-format large volumes of data • Implementing coding changes to our existing tools to improve them or adapt them for different use cases • Testing functionalities of our various tools and providing feedback on improvements that can be implemented. • Assisting our Fusion Data Scientist in preparing different types of data for data fusion (incl. mappi

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