Data Engineer

Overview

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

Role

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
  
  

We are looking for a skilled Data Engineer to join our dynamic team dedicated to building and maintaining our cutting-edge media data lake on Microsoft Azure. This role will focus on developing and supporting data pipelines within a medallion architecture, utilizing Spark and Scala to process and transform large volumes of media data. The successful candidate will be passionate about data, eager to learn, and contribute to a high-performing engineering team.

What You Will Do

• Develop, test, and deploy data ingestion, transformation, and processing pipelines using Azure services (Azure Data Factory, Azure Data Lake Storage).
• Write efficient and maintainable code in Spark and Scala for data manipulation and analysis.
• Contribute to the implementation and maintenance of the medallion architecture (Bronze, Silver, Gold layers).
• Collaborate with senior engineers, architects, and analysts to understand data requirements and implement solutions.
• Monitor data pipelines, troubleshoot issues, and implement optimizations for performance and reliability.
• Implement data quality checks and ensure data integrity across the data lake.
• Participate in code reviews and contribute to team best practices.
• Document data pipelines, processes, and technical specifications.
  
  

• Proficiency in Apache Spark and Scala programming.
• Experience with cloud platforms, preferably Microsoft Azure (Azure Data Factory, ADLS Gen2, Azure Synapse Analytics).
• Understanding of ETL/ELT processes and data warehousing concepts.
• Familiarity with medallion data lake architecture principles.
• Experience with SQL and database technologies.
• Experience with version control systems like Git.
• Familiarity with media or advertising data.
• Good understanding of CI/CD practices.
  
  

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  

WPP Media 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.

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.

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