WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients’ businesses. VML, part of WPP, supports WPP Enterprise Solutions by helping brands activate transformation through creativity and experience.
Step into the Koppling workstream as a Data Engineer and be a key player in building a sophisticated media data warehouse. Your role will involve developing and deploying robust ETL/ELT data pipelines to automate the integration of 3rd party data sources at scale. This is an excellent opportunity to apply solid technical problem-solving skills, advance your data engineering capabilities, and gain a foundational understanding of the marketing data domain. You'll contribute to creating a centralized, reliable data source that informs critical business decisions, working within a collaborative team environment.
What you’ll be doing- Developing, and deploying robust ETL/ELT data pipelines using Python and SQL to integrate various 3rd party data sources.
- Automating the integration of 3rd party data sources at scale, ensuring data accuracy and timeliness for our media data warehouse.
- Utilizing Google Cloud Platform (GCP) services such as BigQuery, Cloud Run, and Scheduler for efficient data processing and orchestration.
- Performing data modeling and transformations using dbt and SQL to structure and refine data within the media data warehouse.
- Managing and version controlling pipeline code and configurations using Git, ensuring collaborative development and deployment.
- Troubleshooting and optimizing existing data pipelines to enhance reliability, performance, and scalability.
- Applying infrastructure-as-code principles to manage data resources, potentially using tools like Terraform for environment provisioning.
- Developing or integrating APIs for complex data ingestion and exploring the use of streaming data technologies like Kafka or Pub/Sub for real-time data needs.
- Implementing and maintaining CI/CD pipelines to automate the testing, deployment, and monitoring of data solutions.
- Professional experience in data engineering or a similar role.
- Hands-on experience with Google Cloud Platform (GCP) services including BigQuery, Cloud Run, and Scheduler.
- Proficiency in SQL for data manipulation and analysis.
- Strong programming skills in Python.
- Experience with dbt.
- Familiarity with infrastructure-as-code principles.
- Understanding of data warehousing concepts, ETL/ELT processes, and data modeling.
- Experience with version control systems (e.g., Git).
- Excellent problem-solving skills, attention to detail, and a proactive attitude.
- Ability to work independently and as part of a team in a fast-paced environment.
Desirable Attributes
- Familiarity with Terraform.
- Experience with API Development.
- Knowledge of streaming data processing concepts (e.g., Kafka, Pub/Sub).
- Familiarity with CI/CD pipelines.
- Relevant GCP certifications are a plus.
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 agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.
WPP (VML/WPP Enterprise Solutions) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to 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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Skills Required
- Professional experience in data engineering or a similar role
- Hands-on experience with Google Cloud Platform services including BigQuery, Cloud Run, and Scheduler
- Proficiency in SQL for data manipulation and analysis
- Strong programming skills in Python
- Experience with dbt
- Familiarity with infrastructure-as-code principles
- Understanding of data warehousing concepts, ETL/ELT processes, and data modeling
- Experience with version control systems (e.g., Git)
- Excellent problem-solving skills, attention to detail, and proactive attitude
- Ability to work independently and as part of a team in a fast-paced environment
- Familiarity with Terraform
- Experience with API development
- Knowledge of streaming data processing concepts (e.g., Kafka, Pub/Sub)
- Familiarity with CI/CD pipelines
- Relevant GCP certifications
What We Do
VML Enterprise Solutions is VML's technology and transformation unit that unites the agency's technology and data groups to deliver consulting, engineering, data, automation and platform services. It supports global brands with AI-enabled solutions, commerce and customer experience transformation, and scalable platform delivery through integrated consulting and technology capabilities.
