O pozici
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 oper
Co budeš dělat
- As a Data Engineer , you will be the backbone of our data-driven financial operations. You will focus on building and maintaining the infrastructure that turns raw financial data into actionable insights. You will serve as a technical liaison between engineering and business stakeholders to translate analytics requirements into scalable data solutions.
- Collaborate with colleagues (engineering, product managers and finance) to understand data requirements and deliver data solutions.
- Design, build, and maintain data models that are scalable, extendable and easy to use by other teams.
- Design, build, and maintain scalable and reliable data pipelines to collect, process, and store data from various data sources.
- Implement data quality checks and monitoring to ensure data accuracy and integrity.
- Create and maintain dashboards and reports that provide visibility into key financial metrics like revenue, usage, and cost.
Koho hledáme
- We are looking for a seasoned professional with a "growth mindset" who is eager to learn and share knowledge. The ideal candidate should have the following qualifications:
- Proven experience (4+ years) in data engineering, BI, or analytics engineering, ideally within finance or customer management domains.
- Strong expertise in SQL.
- Strong experience using Google data stack including Google BigQuery and Looker
- Experience using tools like dbt and orchestration platforms like Apache Airflow.
- Good knowledge of Python for carrying out data related tasks
- Proficiency in building dashboards and reports.
- Experience managing client-facing projects and troubleshooting technical issues.
Benefity
- Security & Savings : Attractive package providing financial peace of mind, including competitive compensation, profit-sharing, daily meal vouchers (Swile), family health insurance (Alan), and a personalized relocation package (if needed).
- Career Development : Continuous investment in our employees’ skills: in-house and external training, tech conference opportu
