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. Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!
As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.
Build monitoring procedures & tools to ensure solid ETL flows and data quality.
Design processes and tools to correct ETL incidents.
Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.
Consult our data analytics teams to ensure best practices on the technical use of data are followed.
Design data architectures and collaborate in data migrations in cloud environments.
You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. Experience in Spark, Python, Scala, or similar.
Excellent SQL skills enabling large-scale data transformation and analysis.




A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice).
Expertise in managing databases, including performance tuning, backup, and recovery.
Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation.
PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.
Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security.
Knowledge of Kubernetes would be an advantage.
Strong desire to contribute towards keeping data tidy and well‑organized.
VML MAP is a world‑leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer‑centric. Together, we are 1000+ technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.
A integral network
We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences.
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📌 Senior Engineer, Data Engineering (Málaga)
🏢 MAP
📍 Málaga