Manager, Data Engineering at DoubleVerify | Powderkeg

About the company:

DoubleVerify 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. DoubleVerify 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](https://doubleverify.com/newsroom/doubleverify-extends- leadership-in-independent-ai-powered-campaign-optimization-solutions-with- agreement-to-acquire-scibids/?news=1) 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

"Scibids DoubleVerify" Technology equips these trading desks with an artificial intelligence software computing the optimal amount to bid for each advertising opportunity, thus bringing the final advertisers dramatic performance and productivity uplifts. The technology developed by Scibids is rooted in a solid scientific and market expertise, with one of the founders holding a PhD. in Machine Learning from ENS Cachan and 10 engineers cumulating 40 years of experience in quantitative advertising.

Our company was selected in 2017 as one of the 62 most innovative startups (amongst 2000+) in the extremely selective “I-Lab” competition by the French public bank & French research ministry. It was also selected in the "Top 100 French Startup To Follow in 2017" by Business Insider.

Two years only after its creation, the company already has several dozens of clients throughout the world and its portfolio keeps on growing! In September 2018, Scibids announced a €2,2M funding in order to support its global ambition to remain the largest algorithmic media trading platform in the world.

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.

Team Leader, Data Engineer, 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:

  • ELT job creation (api dump, data formatting, insertion of big data)
  • Creation of api and lib to help inter-team communications
  • Contribute to the development of a reverse ETL for uploading DoubleVerify models

Reporting to: Senior Director, Data Engineering

Location: Paris, France

​​Minimum qualifications:

  • 5+ years of experience as a data engineer or software engineer
  • At least one experience as a team lead
  • 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.

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.

Job Summary
  • Job Title
    Manager, Data Engineering
  • Company
    DoubleVerify
  • Location
    N/A
  • Employment Type
    Full time
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