Acceleration is WPP’s specialist practice for data, analytics & technology consulting. We are a curious team of highly skilled data and technology practitioners, inspired by experimentation and new ideas. This is the lifeblood of the future-forward solutions we deliver, that empower our clients to compete every day, in a dynamic environment. And it is the reason we have become trusted advisors to CEOs, strategic partners to CMOs, and operational partners to CIOs, around the globe.
We help clients leverage the power of data, analytics and technology to drive media effectiveness. With access to expert consultancy services and a deep bench of specialised skills, we deliver what marketers need to compete effectively, increase efficiency, and drive growth. We are well known for our open, transparent, and honest relationships with clients. We identify opportunities for innovation while remaining firmly grounded in business reality. We demystify complex tasks and impart knowledge without hype or pretence, and we shape marketing ecosystems to drive growth through the intelligent application of data and technology. Most importantly, we speak in specifics and get the job done.
We are seeking a skilled Google Cloud Platform Data Engineer to join our rapidly growing and ambitious team. Reporting to the General Manager for Engineering, you will be responsible for designing and building Marketing Analytics, Data Analytics, and Machine Learning solutions for GroupM clients. You will work closely with our internal consulting team and our client’s enterprise architecture stakeholders to deliver innovative solutions.
This role would be working across a large financial services client and some fast food clients.
The ideal candidate is a passionate and hands-on Data Engineer with a proven track record of building and maintaining robust data pipelines on Google Cloud Platform (GCP). They possess a deep understanding of data warehousing principles and are proficient in developing ETL processes using tools like BigQuery, Dataflow, and Cloud Composer. Experience with marketing technology data, such as CRM, advertising platforms, and web analytics, is highly desirable.
This individual is comfortable working with large datasets, optimizing query performance, and ensuring data quality. They are adept at translating business requirements into technical solutions and have a strong understanding of data modelling techniques. A desire to explore and implement cutting-edge GCP services to improve data processing efficiency and scalability is essential. The ideal candidate enjoys diving into the technical details and is eager to contribute to building innovative data solutions for our marketing technology clients.
Delivery of engineering projects, including setting up data pipelines, data warehouses, cloud infrastructure, and integrations
