Data Engineer

Confirmed live in the last 24 hours

Ogilvy

Barcelona, Spain

Hybrid

Posted March 26, 2026

Job Description

About Ogilvy

Ogilvy, part of WPP, has been creating impact for brands through iconic, culture-changing, value-driving ideas since the company was founded by David Ogilvy 75 years ago. It builds on that rich legacy through Borderless Creativity – innovating at the intersections of its advertising, public relations, relationship design, consulting, and health capabilities with experts collaborating seamlessly across over 120 offices in nearly 90 countries. Ogilvy currently ranks as the #1 global agency network for creative excellence and effectiveness by WARC, signifying its ability to deliver creative solutions that drive unreasonable impact for clients and communities. Ogilvy is a WPP company (NYSE: WPP). For more information, visit Ogilvy.com, and follow us on LinkedIn, X, Instagram, and Facebook.

About WPP

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.

We are looking for someone to join our Data department as a Data Engineer, helping us manage the integration and consolidation processes of our clients' data. In both on-premise and cloud environments, you will be responsible for designing the required information system architecture and managing and maintaining our clients' databases.

We’re looking for a proactive and analytical person who can adapt to a multidisciplinary team and is eager to help us tackle the many challenges our clients face.

What are we looking for?

Education:

University degree in Computer Science, Software Engineering, or related fields with a technological specialization in data analysis and engineering.
Plus: Master's or postgraduate degree in Big Data, Machine Learning, Cloud Computing, or Data Engineering.

Required Experience (demonstrable and advanced):

Data Architecture & Systems: Extensive experience in designing, implementing, and optimizing complex, distributed information system architectures, including relational and NoSQL databases.
Cloud Environments: Deep expertise in defining, implementing, managing, and maintaining enterprise-scale Cloud environments. Expert command of Azure and Google Cloud Platform (GCP), including PaaS/SaaS, serverless computing (Functions, Cloud Run, Azure Functions), containers (Docker, Kubernetes/AKS/GKE), and native cloud data services.
Modern Data Warehouses:&