Who We Are

VML is a global creative company that combines brand experience, customer experience, and commerce to create connected brands that drive growth. Guided by a Human First philosophy, VML is known for its innovative work for brands and consistently ranks among the world’s leading creative companies, including the WARC Creative 100. VML’s global network spans 55+ markets with principal offices in Buenos Aires, Kansas City, London, New York, São Paulo, Shanghai and Singapore.

VML is part of WPP, the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel.

For more information, please visit www.vml.com and follow along on LinkedIn #WeAreVML.

At VML, we are architects of connected brands and experiences for a changing world. We believe in the powerful synergy of creativity, technology, data, and culture to build brands that not only grow faster but also resonate deeply and personally with their customers. We are experts in marketing transformation, marketing science, and advanced marketing automation and personalization, relentlessly pushing the boundaries of what's possible.

We power over 350 million personalized experiences between brands and their customers every day. We achieve this by applying our deep expertise, leveraging strategic partnerships with the biggest technology platforms in the world, and by harnessing cutting-edge advancements in Artificial Intelligence, Machine Learning, and Large Language Models. We work closely with our clients as true growth partners, helping them not just achieve their goals but redefine them for the future. This particular opportunity offers the chance to work directly with one of our tier-one automotive clients, a global brand powerhouse, helping shape their digital future.

Our global team of 4,000+ data specialists serves more than 150 markets across the globe. We operate with unwavering integrity, a profound respect for data privacy, and complete transparency. We champion new ideas and diverse perspectives, fostering a culture of creative bravery, open listening, positivity, and collective strength in all that we do. We are constantly evolving, empowering our clients to stay ahead in a rapidly accelerating digital landscape. Please note that UK working hours will be required for this role.

Overview

The Data Engineer, Marketing & Analytics, is a key technical contributor responsible for designing, building, and maintaining robust data pipelines and infrastructure that power VML's digital and media reporting and product analytics for our tier-one clients. This role focuses on ensuring high-quality, reliable, and accessible data for analysis, reporting, and advanced analytical initiatives, including feeding platforms like Amplitude.

You will leverage a modern data stack including Google Cloud Platform (GCP), Matillion for ETL/ELT, Snowflake as our cloud data warehouse, and Rudderstack for customer data ingestion. Your work will directly enable our analytics and data science teams to derive critical insights, fuel AI/ML applications, and provide robust data to product analytics platforms like Amplitude. Beyond pipeline development, you will also be responsible for monitoring, troubleshooting, and optimizing data workflows. This position requires strong engineering principles, a meticulous approach to data quality, and a collaborative spirit to work with cross-functional teams.

Responsibilities

As a Data Engineer, your duties will include, but will not be limited to, the following:

Data Pipeline Development: Design, develop, and implement scalable and reliable ETL/ELT pipelines using Matillion and GCP services (e.g., Cloud Functions, Cloud Storage, Big Query, Composer/Airflow) to ingest, transform, and load digital and media data into Snowflake.
Data Ingestion & Integration: Configure and manage data streams from various sources, including customer data platforms like Rudder stack, APIs (e.g., ad platforms, analytics tools), and other raw data feeds. Understand and integrate data from advanced omnichannel tagging and data collection systems, ensuring data readiness for tools like Amplitude.