Hogarth is the Global Content Experience Company. Part of WPP, Hogarth partners with one in every two of the world’s top 100 brands including Coca-Cola, Ford, Rolex, Nestlé, Mondelez and Dyson. With a breadth of experience across an extensive range of sectors, Hogarth offers the unrivaled ability to deliver relevant, engaging, and measurable content across all channels and media - both established and emerging. The number of channels at our fingertips; the need for speed; and the drive for mass personalisation, all mean that brands need different solutions. Our global team of over 7,500 craft and technology experts brings together creative, production and innovation to help clients navigate this exciting and ever-changing world of today’s content experience.
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. Working at WPP means being part of a global network of more than 100,000 talented people dedicated to doing extraordinary work for our clients. We operate in over 100 countries, with corporate headquarters in New York, London and Singapore. WPP is a world leader in marketing services, with deep AI, data and technology capabilities, global presence and unrivalled creative talent. Our clients include many of the biggest companies and advertisers in the world, including approximately 300 of the Fortune Global 500. 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.
Data Engineers
Job Title: Data Engineer/Senior Data Engineer
Job Summary:
We are looking for a skilled Data Engineer to build and maintain data systems and pipelines. You will analyze and organize raw data, build algorithms and prototypes, and collaborate with data scientists to enhance data quality and reliability while supporting business objectives.
Key Responsibilities:
Analyze and organize raw data Build data systems and pipelines Evaluate business needs and objectives Interpret trends and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive modeling Build algorithms and prototypes Combine raw information from different sources Enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and programs Collaborate with data scientists and architects
Required Qualifications:
Preferred Qualifications:
Inclusion and Impact
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.
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