Teads

Media

DataEngineer-FinanceSolutionsTeam

€52–75k ~AI est. Montpellier, France FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer - Finance Solutions Team at Teads. Skills: Data engineering, Analytics engineering, BI. Build data models. Maintain data models”

Industry & Context.

Media
Problems you'll solve

Troubleshooting technical issues

What They're Looking For.

Must Have

4+ years data engineering experience, SQL expertise, Google data stack experience, Dbt experience, Apache Airflow experience, Python proficiency

Nice to Have

Ad-Tech industry experience, Finance/Accounting operations experience, Java/Scala software writing experience

What You'll Do.

Design data pipelines

Maintain data pipelines

Implement data quality checks

Implement data monitoring

How You'll Work.

Team & Collaboration

Engineering; Product managers; Finance; Business stakeholders

Full Job Description

About Teads Teads is a leading omnichannel advertising platform focused on driving outcomes for brand and performance advertisers across screens. With a focus on meaningful business outcomes for branding and performance objectives, Teads drives value by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, New York with a global team of around 1,700 people in 30+ countries. For more information, visit www.teads.com. Our main Engineering challenges at Teads Build efficient and easy-to-use web products used by thousands of users working for the world’s most premium publishers, advertisers, and agencies. Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others. Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds). Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second). A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products. Bring a wide diversity of profiles to the same level of quality and knowledge Work in an international environment with offices located in Israel, Slovenia and France. FInance Solutions Team The Finance Solutions team is a growing team that builds and owns products supporting the company's financial processes for internal users, customers (advertisers), and partners (publishers). Our core mission is to make finance operat

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