Data Engineering, ETL/ELT technologies, Python Programming, SQL
About the role:
The mission of DoubleVerify is to provide media buyers with fully automated buying strategies for display campaigns, leading to uncompared performances for a minimum of human work.
The Data Engineering team is at the core of the DV product, and is responsible for communication between DV and its partners.
All teams need correct and reliable data. We ingest diverse and volumetric data. The team also manages outbound communications with partners. We use partner api cross-referenced with a set of business rules to upload models generated by the scibids product.
As Manager, Data Engineering, your role will be to lead the data engineer team and participate in the development of the project.
You'll be responsible for writing OKRs and the Data Engineering roadmap, managing the day-to-day prioritization of tasks and sharing best practices with the team. You'll also study and challenge different ways of ensuring job scalability.
You will also take part in development work to improve the product. The scope of the data engineer varies between:
Reporting to: Senior Director, Data Engineering
Location: Paris, France
Minimum qualifications:
Preferred qualifications:
DoubleVerify offers a dynamic, inclusive environment where innovation and teamwork are celebrated. If you are looking to make a significant impact in the digital marketing sphere and lead a talented team towards groundbreaking achievements, we would love to hear from you.
DoubleVerify is a big data and analytics company. We track and analyze tens of billions of ads every day for the biggest brands in the world like Apple, Nike, AT&T, Disney, Vodafone, and most of the Fortune 500 companies. If you ever saw an Ad online via Web, Mobile, or CTV device then there are big chances that it was analyzed and tracked by us.