Scibids is a global leader in AI-powered digital campaign activation. Scibids empowers global brands to drive specific KPIs and tangible outcomes more effectively while improving operational efficiency and reducing manual lift. Scibids technology does not rely on digital identifiers such as cookies and can be activated across leading Demand-Side Platforms such as The Trade Desk, DV360, and Xandr to mention a few. To learn more visit https://doubleverify.com/scibids-ai/

Recently, Doubleverify closed its acquisition of Scibids providing an End-to-end, comprehensive measurement and granular optimization. DoubleVerify is the recognized market innovator with the technology and tools that accurately authenticate the quality of digital media and drive ad performance for the world's largest brands. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance.  Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital ecosystem that help build a better industry. Learn more at doubleverify.com

About the role:

The mission of "Scibids 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 scibids product, and is responsible for communication between scibids 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 Senior Data Engineer, your role will be to participate in the development of the project and make sure it runs efficiently.

 

The scope of application varies between several tasks:

Creation of ETL jobs to make our partners' data available to other teams. There are several sources of data, for example data from api or files in csv, avro or parquet format with several million rows. Contribute to the development of a reverse ETL for uploading scibids models Creation of api and lib to help inter-team communications

Technical stack relevant to the position:

Python, Prefect Google Cloud Environment, Bigquery, Cloud SQL, Google Cloud Datastore, Cloud Run, ...

Reporting to: Manager, Data Engineering

Location: Paris, France

​​Minimum qualifications:

3+ years of experience as a data engineer Advanced knowledge of one or several programming languages. SQL & Python proficiency. Knowing how to program in a simple and short way (KISS principle). Interest and ability to learn other coding languages as needed.

Preferred qualifications:

Professional experience working with large datasets. Experience working with two of the following: distributed and parallel systems, information retrieval, developing large software systems. Conducting a regular technology watch on data-related subjects.

Scibids 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.