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WPP
Lead the design and implementation of global people data pipelines, own canonical data structures, make architectural decisions, and ensure regulatory compliance while providing technical guidance to other engineers.
Requires strong hands-on data engineering experience, including design and delivery of complex pipelines and data models in a cloud environment, with proficiency in SQL, Python/PySpark, Databricks, and Azure.
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.
We have been building the world's most valuable brands for 50 years and have global reach across 100+ markets, with deep local expertise.
Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.
For more information, visit WPP.com.
Why we're hiring:
WPP is at the forefront of the marketing and advertising industry's largest transformation. Our Global CIO is leading a significant evolution of our Enterprise Technology capabilities, bringing together over 2,500 technology professionals into an integrated global team. This team will play a crucial role in enabling the ongoing transformation of our agencies and functions.
We are seeking a Senior Data Engineer to serve as the technical anchor for WPP's global people data product. This is a hands-on senior role within the People Data & Insights team, responsible for the design, implementation, and ongoing evolution of the data pipelines and models that underpin enterprise-wide workforce reporting, regulatory compliance, and strategic people analytics across 90+ markets and 100K+ employees.
This is not a coordination role. It requires deep, practised data engineering capability combined with the architectural judgement to make enterprise-grade design decisions independently — with full autonomy over schema, ingestion patterns, data standardisation, and pipeline architecture — in a complex, multi-source, globally scaled environment.
What you'll be doing:
What you'll need:
Who you are:
You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.
You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.
You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.
What we'll give you:
Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.
Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.
Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?
#LI-Hybrid
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
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AI Est. Total Comp
$145,000
Location
London, London, United Kingdom
Work Type
On-site
Seniority
staff
Experience
8+ years
Category
Data Engineering
Visa Sponsorship
Unknown
Quality Score
5.1