Data Engineer

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 work with the world's most valuable brands 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:

The Data Engineer is responsible for the design, development, and implementation of scalable data solutions across the Azure Databricks platform supporting AUNZ. This role focuses on building and maintaining data pipelines using Databricks (Unity Catalog, DABs, DLT), PySpark, and SQL, delivering enterprise-scale data transformation, and supporting Power BI reporting through well-modelled silver/gold layer datasets. The Data Engineer works closely with the Head of Data & Analytics to execute technical scoping and delivery against business requirements.

What you'll be doing:

KRA 1 Data Pipeline Development

• Design, build, test, and maintain data pipelines (ELT) using Databricks, Delta Live Tables, and Databricks Asset Bundles, according to business and technical requirements.
• Manage data workflows and orchestration; ensure accuracy and availability of all ELT processes.
• Design and deliver silver/gold layer data models within the medallion architecture to support downstream reporting.
  
  

KRA 2 Platform & Governance

• Implement secure platforms with Unity Catalog - access controls, data lineage, and discovery.
• Apply CI/CD and DevOps practices (GitHub Actions) for deployment, testing, and release management.
• Play a key role in automation, building solutions against architectural best practice.
  
  

KRA 3 Solution Delivery & Documentation

• Propose technical designs and develop integrations, including application data connections via APIs.
• Execute data migrations as scoped and directed by the Head of Data & Analytics.
• Maintain clear documentation of pipelines, data models, and technical logic within the engineering layer.
• Provide technical input during requirements scoping sessions with the Head of Data & Analytics.
  
  

What you'll need:

• 3+ years experience designing and building scalable distributed data pipelines and dimensional data models.
• 3+ years experience in Python and SQL.
• Experience using the Databricks platform and PySpark is required (Unity Catalog, DABs, DLT).
• Experience with Azure data services - ADLS Gen2, Azure Key Vault, Azure SQL.
• Demonstrable understanding of CI/CD and Agile practices, including unit/integration testing.
• Exposure to AI & ML technologies is a plus.
  
  

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 approach all that we do with confidence: 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 champion a culture of people that do extraordinary work

Scale and opportunity – we offer the opportunity to create, influence and deliver 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.

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.

Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.